Replication package-RSiena
Jochem Tolsma - Radboud University / University of Groningen, the Netherlands
Last compiled on november, 2023
Intro
This website is a replication package for the paper “Twitter and divides in the Dutch Parliament: Social and Political Segregation in the following, @-mentions and retweets networks” by Tolsma and Spierings ((submitted)).
It contains R code to replicate all Tables/Figures/Appendix in the manuscript.
To copy the code click the button in the upper right corner of the code-chunks.
Use the top menu to navigate to the section of interest.
The source code of this website can be found on Github
Questions can be addressed to Jochem Tolsma.
Packages
# install if necessary
if (!require("tidyverse", character.only = TRUE)) {
install.packages("tidyverse", dependencies = TRUE)
}
if (!require("dplyr", character.only = TRUE)) {
install.packages("dplyr", dependencies = TRUE)
}
if (!require("foreign", character.only = TRUE)) {
install.packages("foreign", dependencies = TRUE)
}
if (!require("igraph", character.only = TRUE)) {
install.packages("igraph", dependencies = TRUE)
}
if (!require("knitr", character.only = TRUE)) {
install.packages("knitr", dependencies = TRUE)
}
if (!require("kableExtra", character.only = TRUE)) {
install.packages("kableExtra", dependencies = TRUE)
}
if (!require("RSiena", character.only = TRUE)) {
install.packages("RSiena", dependencies = TRUE)
}
if (!require("haven", character.only = TRUE)) {
install.packages("haven", dependencies = TRUE)
}
# load packages.
library(tidyverse)
library(dplyr)
library(foreign)
library(igraph)
library(knitr)
library(kableExtra)
library(RSiena)
library(haven)Custom functions: tweaking output
fanscsv <- function(ans = ans) {
ans1_mat <- matrix(NA, nrow = length(ans$effects[, 2]), ncol = 3)
row.names(ans1_mat) <- ans$effects[, 2]
ans1_mat[, 1] <- (ans$theta)
ans1_mat[, 2] <- (ans$se)
ans1_mat[, 3] <- (ans$tconv)
ans1_mat <- rbind(ans1_mat, c(ans$tconv.max))
row.names(ans1_mat)[length(row.names(ans1_mat))] <- "Overall maximum convergence ratio:"
colnames(ans1_mat) <- c("Estimate", "Standard Error", "Convergence t-ratio")
return(ans1_mat)
# print(ans1_mat) write.csv(ans1_mat, filename)
}Load data objects
Data objects:
- key:
information on all politicians on election list
- twitter
- keyf: information on all 147 MPs with twitter handle
- mydata: RSiena object with all kind of goodies inside
- seats: seating coordinates of HoP (used for plotting)
- keyf: information on all 147 MPs with twitter handle
# STAP 1: read in data
key <- read.spss("data-processed\\key moederbestand 20171114.sav", use.value.labels = T, to.data.frame = T)
load("data-processed\\twitter_20190919.RData")
# str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]
# construct two separate datasets for each period. NOT USED IN MANUSCRIPT
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars
fnet <- sienaNet(deps$fnet[, , 1:2])
atmnet <- sienaNet(deps$atmnet[, , 1:2])
rtnet <- sienaNet(deps$rtnet[, , 1:2])
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1
mydata12 <- sienaDataCreate(fnet, atmnet, rtnet, afstand, egohandle, egoid, partij, coalitie, cda, cu,
denk, d66, fvd, gl, pvda, pvdd, pvv, sgp, sp, vvd, plus, ethminz, vrouw, lft, kamerlid2016, kabinet2016,
pleklijst, pleklijst1)
fnet <- sienaNet(deps$fnet[, , 2:3])
atmnet <- sienaNet(deps$atmnet[, , 2:3])
rtnet <- sienaNet(deps$rtnet[, , 2:3])
mydata23 <- sienaDataCreate(fnet, atmnet, rtnet, afstand, egohandle, egoid, partij, coalitie, cda, cu,
denk, d66, fvd, gl, pvda, pvdd, pvv, sgp, sp, vvd, plus, ethminz, vrouw, lft, kamerlid2016, kabinet2016,
pleklijst, pleklijst1)Estimate RSiena models
Model 0
Basic structural effects only.
Included effects:
- three dependent network variables
- degree (once without and once with time heterogeneity)
- reciprocity
- indegree-popularity (sqrt)
- outdegree-activity (sqrt)
- outdegree-popularity (sqrt)
- transitive triplets or GWESPP
- shared popularity
# print01Report( mydata, modelname='Twitter') let us have a look at all possible effects
# effectsDocumentation()
# Define the model We will compare a model with *transTrip* versus *gwespFF* first.
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
# myeff_m1 <- includeEffects( myeff_m1, cycle3, name='fnet' ) myeff_m1 <- includeEffects( myeff_m1,
# cycle3, name='atmnet' ) myeff_m1 <- includeEffects( myeff_m1, cycle3, name='rtnet' )
# estimates
myalgorithm <- sienaAlgorithmCreate(projname = "M1")
ansM1 <- siena07(myalgorithm, data = mydata, effects = myeff_m1, useCluster = TRUE, nbrNodes = 4, initC = TRUE,
batch = TRUE)
ansM1
ansM1b <- siena07(myalgorithm, data = mydata, prevAns = ansM1, effects = myeff_m1, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
# ansM1b ##good fit.
# save(ansM1b, file=paste('ansM1b','.RData',sep=''))#> Estimates, standard errors and convergence t-ratios
#>
#> Estimate Standard Convergence
#> Error t-ratio
#> 1. rate constant fnet rate (period 1) 4.1091 ( 0.2055 ) 0.0312
#> 2. rate constant fnet rate (period 2) 2.0522 ( 0.1278 ) 0.0580
#> 3. eval fnet: outdegree (density) -8.1540 ( 1.5015 ) 0.0585
#> 4. eval fnet: reciprocity 1.2108 ( 0.1383 ) 0.0075
#> 5. eval fnet: transitive triplets 0.0394 ( 0.0064 ) 0.0532
#> 6. eval fnet: indegree - popularity (sqrt) 0.1312 ( 0.0309 ) 0.0477
#> 7. eval fnet: outdegree - popularity (sqrt) -0.3065 ( 0.0490 ) 0.0513
#> 8. eval fnet: outdegree - activity (sqrt) 0.8170 ( 0.1735 ) 0.0711
#> 9. rate constant atmnet rate (period 1) 41.9518 ( 5.1850 ) -0.0297
#> 10. rate constant atmnet rate (period 2) 12.1451 ( 0.7656 ) -0.0145
#> 11. eval atmnet: outdegree (density) -3.6795 ( 0.1101 ) -0.0379
#> 12. eval atmnet: reciprocity 1.7383 ( 0.1145 ) -0.0653
#> 13. eval atmnet: transitive triplets 0.0791 ( 0.0196 ) -0.0223
#> 14. eval atmnet: indegree - popularity (sqrt) 0.3999 ( 0.0291 ) -0.0347
#> 15. eval atmnet: outdegree - popularity (sqrt) -0.2106 ( 0.0436 ) -0.0442
#> 16. eval atmnet: outdegree - activity (sqrt) 0.2039 ( 0.0179 ) -0.0392
#> 17. rate constant rtnet rate (period 1) 13.3184 ( 0.8971 ) -0.0399
#> 18. rate constant rtnet rate (period 2) 11.6651 ( 0.8588 ) 0.0160
#> 19. eval rtnet: outdegree (density) -2.4485 ( 0.1161 ) -0.0113
#> 20. eval rtnet: reciprocity 1.3148 ( 0.0912 ) 0.0340
#> 21. eval rtnet: transitive triplets 0.1738 ( 0.0091 ) 0.0206
#> 22. eval rtnet: indegree - popularity (sqrt) 0.3235 ( 0.0359 ) -0.0110
#> 23. eval rtnet: outdegree - popularity (sqrt) -0.4149 ( 0.0504 ) -0.0080
#> 24. eval rtnet: outdegree - activity (sqrt) 0.0332 ( 0.0248 ) -0.0155
#>
#> Overall maximum convergence ratio: 0.2158
#>
#>
#> Total of 1978 iteration steps.Time heterogeneity in outdegree.
#> Estimates, standard errors and convergence t-ratios
#>
#> Estimate Standard Convergence
#> Error t-ratio
#> 1. rate constant fnet rate (period 1) 4.1017 ( 0.1980 ) 0.0133
#> 2. rate constant fnet rate (period 2) 2.0527 ( 0.1354 ) -0.0306
#> 3. eval fnet: outdegree (density) -9.6451 ( 1.4425 ) 0.0074
#> 4. eval fnet: reciprocity 1.0762 ( 0.1268 ) 0.0425
#> 5. eval fnet: transitive triplets 0.0638 ( 0.0078 ) 0.0146
#> 6. eval fnet: shared popularity -0.0016 ( 0.0003 ) 0.0035
#> 7. eval fnet: indegree - popularity (sqrt) 0.3544 ( 0.0563 ) -0.0015
#> 8. eval fnet: outdegree - popularity (sqrt) -0.3698 ( 0.0470 ) -0.0006
#> 9. eval fnet: outdegree - activity (sqrt) 0.9379 ( 0.1644 ) 0.0025
#> 10. rate constant atmnet rate (period 1) 31.2759 ( 2.3023 ) -0.0080
#> 11. rate constant atmnet rate (period 2) 12.4751 ( 0.7705 ) 0.0272
#> 12. eval atmnet: outdegree (density) -3.6554 ( 0.1468 ) 0.0005
#> 13. eval atmnet: reciprocity 1.7354 ( 0.1057 ) -0.0233
#> 14. eval atmnet: transitive triplets 0.2198 ( 0.0312 ) -0.0236
#> 15. eval atmnet: shared popularity -0.0281 ( 0.0066 ) -0.0353
#> 16. eval atmnet: indegree - popularity (sqrt) 0.4095 ( 0.0506 ) -0.0094
#> 17. eval atmnet: outdegree - popularity (sqrt) -0.2971 ( 0.0449 ) 0.0056
#> 18. eval atmnet: outdegree - activity (sqrt) 0.1925 ( 0.0250 ) 0.0012
#> 19. eval Dummy2:atmnet ego -0.5914 ( 0.0727 ) 0.0020
#> 20. rate constant rtnet rate (period 1) 14.0408 ( 0.9530 ) -0.0255
#> 21. rate constant rtnet rate (period 2) 11.6744 ( 0.7918 ) 0.0385
#> 22. eval rtnet: outdegree (density) -2.7118 ( 0.1295 ) -0.0123
#> 23. eval rtnet: reciprocity 0.9463 ( 0.1064 ) -0.0759
#> 24. eval rtnet: transitive triplets 0.3883 ( 0.0274 ) -0.0722
#> 25. eval rtnet: shared popularity -0.0435 ( 0.0056 ) -0.0555
#> 26. eval rtnet: indegree - popularity (sqrt) 0.4149 ( 0.0406 ) -0.0161
#> 27. eval rtnet: outdegree - popularity (sqrt) -0.4176 ( 0.0464 ) -0.0376
#> 28. eval rtnet: outdegree - activity (sqrt) 0.0358 ( 0.0237 ) -0.0166
#> 29. eval Dummy2:rtnet ego 0.2366 ( 0.0492 ) -0.0138
#>
#> Overall maximum convergence ratio: 0.2537
#>
#>
#> Total of 1922 iteration steps.Interpretation:
Please be aware that we are looking at period interactions:
- atmention degrees decreased faster in period 2 than in period 1,
hence negative interaction
- retweet degrees decreased faster in period 1 than in period 2, hence positive interaction
gwespFF versus transTrip
myeff <- getEffects(mydata)
myeff_m1b <- myeff
# according to suggestion of rsiena manual
myeff_m1b <- includeEffects(myeff_m1b, inPopSqrt, name = "fnet")
myeff_m1b <- includeEffects(myeff_m1b, inPopSqrt, name = "atmnet")
myeff_m1b <- includeEffects(myeff_m1b, inPopSqrt, name = "rtnet")
myeff_m1b <- includeEffects(myeff_m1b, outActSqrt, name = "fnet")
myeff_m1b <- includeEffects(myeff_m1b, outActSqrt, name = "atmnet")
myeff_m1b <- includeEffects(myeff_m1b, outActSqrt, name = "rtnet")
myeff_m1b <- includeEffects(myeff_m1b, outPopSqrt, name = "fnet")
myeff_m1b <- includeEffects(myeff_m1b, outPopSqrt, name = "atmnet")
myeff_m1b <- includeEffects(myeff_m1b, outPopSqrt, name = "rtnet")
myeff_m1b <- includeEffects(myeff_m1b, gwespFF, name = "fnet")
myeff_m1b <- includeEffects(myeff_m1b, gwespFF, name = "atmnet")
myeff_m1b <- includeEffects(myeff_m1b, gwespFF, name = "rtnet")
myeff_m3 <- myeff_m1b
myalgorithm <- sienaAlgorithmCreate(projname = "M1")
ansM3 <- siena07(myalgorithm, data = mydata, effects = myeff_m3, useCluster = TRUE, nbrNodes = 8, initC = TRUE,
batch = TRUE)
# ansM3 save(ansM3, file=paste('ansM3','.RData',sep=''))
ansM3b <- siena07(myalgorithm, data = mydata, prevAns = ansM3, effects = myeff_m1, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
# ansM3b save(ansM3b, file=paste('ansM3b','.RData',sep=''))| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| rate 1 | 4.121 | 0.205 |
| rate 2 | 2.055 | 0.133 |
| outdegree | -10.872 | 1.727 |
| reciprocity | 1.354 | 0.120 |
| GWESP | 1.257 | 0.311 |
| indegree - popularity (sqrt) | 0.172 | 0.037 |
| outdegree - popularity (sqrt) | -0.191 | 0.032 |
| outdegree - activity (sqrt) | 0.851 | 0.197 |
| Atmention | ||
| rate 1 | 42.900 | 5.246 |
| rate 2 | 12.718 | 0.836 |
| outdegree | -3.408 | 0.121 |
| reciprocity | 1.700 | 0.119 |
| GWESP | 0.669 | 0.076 |
| indegree - popularity (sqrt) | 0.261 | 0.047 |
| outdegree - popularity (sqrt) | -0.176 | 0.044 |
| outdegree - activity (sqrt) | 0.147 | 0.020 |
| Retweets | ||
| rate 1 | 16.310 | 1.204 |
| rate 2 | 14.429 | 1.136 |
| outdegree | -1.964 | 0.165 |
| reciprocity | 1.012 | 0.093 |
| GWESP | 1.601 | 0.078 |
| indegree - popularity (sqrt) | 0.010 | 0.052 |
| outdegree - popularity (sqrt) | -0.276 | 0.054 |
| outdegree - activity (sqrt) | -0.109 | 0.032 |
| Note: | ||
| Overall maximum convergence ratio: 0.217 | ||
Don’t think it will matter much whether we include gwespFF or TranTrip.
Model 0 - final
Finally, we also included sharedPop to reach Model 0
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
load("ansM1b.RData")
ansM4 <- siena07(myalgorithm, data = mydata, prevAns = ansM1b, effects = myeff_m1, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM4
save(ansM4, file = paste("ansM4", ".RData", sep = ""))
ansM4b <- siena07(myalgorithm, data = mydata, prevAns = ansM4, effects = myeff_m1, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM4b
save(ansM4b, file = paste("ansM4b", ".RData", sep = ""))#> Estimates, standard errors and convergence t-ratios
#>
#> Estimate Standard Convergence
#> Error t-ratio
#> 1. rate constant fnet rate (period 1) 4.1040 ( 0.2122 ) 0.0381
#> 2. rate constant fnet rate (period 2) 2.0530 ( 0.1223 ) -0.0148
#> 3. eval fnet: outdegree (density) -9.6493 ( 1.6129 ) 0.0469
#> 4. eval fnet: reciprocity 1.0755 ( 0.1192 ) 0.0231
#> 5. eval fnet: transitive triplets 0.0639 ( 0.0094 ) 0.0297
#> 6. eval fnet: shared popularity -0.0016 ( 0.0004 ) 0.0241
#> 7. eval fnet: indegree - popularity (sqrt) 0.3540 ( 0.0859 ) 0.0281
#> 8. eval fnet: outdegree - popularity (sqrt) -0.3701 ( 0.0703 ) 0.0244
#> 9. eval fnet: outdegree - activity (sqrt) 0.9391 ( 0.1836 ) 0.0456
#> 10. rate constant atmnet rate (period 1) 45.4579 ( 13.3411 ) -0.0582
#> 11. rate constant atmnet rate (period 2) 12.1949 ( 0.9064 ) 0.0384
#> 12. eval atmnet: outdegree (density) -3.8225 ( 0.1326 ) -0.0550
#> 13. eval atmnet: reciprocity 1.6955 ( 0.2088 ) -0.0610
#> 14. eval atmnet: transitive triplets 0.1733 ( 0.0401 ) -0.0531
#> 15. eval atmnet: shared popularity -0.0209 ( 0.0095 ) -0.0538
#> 16. eval atmnet: indegree - popularity (sqrt) 0.4664 ( 0.0483 ) -0.0414
#> 17. eval atmnet: outdegree - popularity (sqrt) -0.2387 ( 0.0724 ) -0.0557
#> 18. eval atmnet: outdegree - activity (sqrt) 0.2239 ( 0.0202 ) -0.0492
#> 19. rate constant rtnet rate (period 1) 13.7901 ( 1.6667 ) 0.0303
#> 20. rate constant rtnet rate (period 2) 12.2400 ( 0.8101 ) 0.0146
#> 21. eval rtnet: outdegree (density) -2.6328 ( 0.1808 ) -0.0074
#> 22. eval rtnet: reciprocity 0.9417 ( 0.1414 ) 0.0012
#> 23. eval rtnet: transitive triplets 0.3819 ( 0.0273 ) -0.0130
#> 24. eval rtnet: shared popularity -0.0423 ( 0.0059 ) -0.0094
#> 25. eval rtnet: indegree - popularity (sqrt) 0.4013 ( 0.0605 ) -0.0021
#> 26. eval rtnet: outdegree - popularity (sqrt) -0.4204 ( 0.0484 ) -0.0057
#> 27. eval rtnet: outdegree - activity (sqrt) 0.0255 ( 0.0256 ) -0.0018
#>
#> Overall maximum convergence ratio: 0.1643
#>
#>
#> Total of 2034 iteration steps.Model 1
Baseline model with controls to test Hypothesis 1.
Relevant party dummies
We cannot include all party dummies as covariates for ego and alter. We will thus first check which party deviates significantly with respect to indegree and outdegree.
First the descriptives.
# check if we observe outdegree differences per partij
fnet <- mydata$depvars$fnet
atmnet <- mydata$depvars$atmnet
rtnet <- mydata$depvars$rtnet
testfnet <- fnet[, , 1]
testfnet[testfnet == 10] <- NA
testrtnet <- rtnet[, , 1]
testrtnet[testrtnet == 10] <- NA
testatmnet <- atmnet[, , 1]
testatmnet[testatmnet == 10] <- NA
keyf$outdegreesf <- rowSums(testfnet, na.rm = TRUE)
keyf$indegreesf <- colSums(testfnet, na.rm = TRUE)
keyf$outdegreesrt <- rowSums(testrtnet, na.rm = TRUE)
keyf$indegreesrt <- colSums(testrtnet, na.rm = TRUE)
keyf$outdegreesatm <- rowSums(testatmnet, na.rm = TRUE)
keyf$indegreesatm <- colSums(testatmnet, na.rm = TRUE)
degreesum <- keyf %>%
group_by(Partij) %>%
summarize(mean_of = mean(outdegreesf, na.rm = T), mean_if = mean(indegreesf, na.rm = T), mean_irt = mean(outdegreesrt,
na.rm = T), mean_ort = mean(indegreesrt, na.rm = T), mean_iat = mean(outdegreesatm, na.rm = T),
mean_oat = mean(indegreesatm, na.rm = T), count = n()) %>%
arrange(desc(count)) %>%
select(!("count"))
colnames(degreesum) <- c("Party", "outdegree friends", "indegree friends", "outdegree retweets", "indegree retweets",
"outdegree atmentions", "indegree atmentions")
# write_csv(degreesum, 'degreesum.csv')| Party | outdegree.friends | indegree.friends | outdegree.retweets | indegree.retweets | outdegree.atmentions | indegree.atmentions |
|---|---|---|---|---|---|---|
| VVD | 42.88 | 42.19 | 5.91 | 5.94 | 6.19 | 5.84 |
| CDA | 39.47 | 38.47 | 6.58 | 6.63 | 6.37 | 8.16 |
| D66 | 42.68 | 38.53 | 10.47 | 10.79 | 11.32 | 10.05 |
| PVV | 19.06 | 23.28 | 8.61 | 8.22 | 2.78 | 2.72 |
| GroenLinks | 37.71 | 37.64 | 8.07 | 7.43 | 10.64 | 10.07 |
| SP | 29.86 | 34.86 | 6.93 | 7.57 | 10.29 | 8.93 |
| PvdA | 33.22 | 44.89 | 3.56 | 5.00 | 7.22 | 9.78 |
| CU | 33.40 | 43.80 | 4.60 | 5.00 | 6.80 | 7.60 |
| PvdDieren | 53.20 | 28.80 | 5.80 | 4.60 | 8.80 | 5.80 |
| 50Plus | 16.00 | 19.00 | 1.25 | 2.00 | 3.25 | 5.25 |
| DENK | 28.00 | 21.67 | 3.33 | 2.67 | 3.67 | 3.00 |
| SGP | 93.33 | 59.33 | 5.33 | 2.67 | 4.67 | 9.33 |
| FvD | 3.50 | 28.00 | 3.00 | 1.50 | 3.50 | 2.00 |
Let us use a simple OLS regression with deviation coding (grand mean is ref) to test for significance.
keyf$Partij2 <- as.factor(as.character(keyf$Partij))
levels(keyf$Partij2)
contrasts(keyf$Partij2) <- contr.sum(13) #let us use VVD as omitted party
summary(lm(outdegreesf ~ Partij2, keyf))
print("which parties deviate significantly outdegreesf")
levels(keyf$Partij2)[c(1, 6, 9, 10, 11)]
summary(lm(indegreesf ~ Partij2, keyf))
print("which parties deviate significantly indegreesf")
levels(keyf$Partij2)[c(10, 11)]
summary(lm(outdegreesatm ~ Partij2, keyf))
print("which parties deviate significantly outdegreesatm")
levels(keyf$Partij2)[c(4, 7, 10, 12)]
summary(lm(indegreesatm ~ Partij2, keyf))
print("which parties deviate significantly indegreesatm")
levels(keyf$Partij2)[c(4, 7, 10)]
summary(lm(outdegreesrt ~ Partij2, keyf))
print("which parties deviate significantly outdegreesrt")
levels(keyf$Partij2)[c(1, 4, 7, 10)]
summary(lm(indegreesrt ~ Partij2, keyf))
print("which parties deviate significantly indegreesrt")
levels(keyf$Partij2)[c(4, 10)]#> [1] "50Plus" "CDA" "CU" "D66" "DENK" "FvD" "GroenLinks"
#> [8] "PvdA" "PvdDieren" "PVV" "SGP" "SP" "VVD"
#>
#> Call:
#> lm(formula = outdegreesf ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -44.333 -13.594 -1.056 8.772 97.526
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 36.332 2.738 13.267 < 2e-16 ***
#> Partij21 -20.332 11.224 -1.811 0.07231 .
#> Partij22 3.142 5.696 0.552 0.58215
#> Partij23 -2.932 10.114 -0.290 0.77234
#> Partij24 6.352 5.696 1.115 0.26674
#> Partij25 -8.332 12.864 -0.648 0.51828
#> Partij26 -32.832 15.635 -2.100 0.03762 *
#> Partij27 1.382 6.430 0.215 0.83012
#> Partij28 -3.110 7.756 -0.401 0.68910
#> Partij29 16.868 10.114 1.668 0.09768 .
#> Partij210 -17.276 5.816 -2.970 0.00353 **
#> Partij211 57.001 12.864 4.431 1.93e-05 ***
#> Partij212 -6.475 6.430 -1.007 0.31580
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 23.67 on 134 degrees of freedom
#> Multiple R-squared: 0.2393, Adjusted R-squared: 0.1712
#> F-statistic: 3.513 on 12 and 134 DF, p-value: 0.0001547
#>
#> [1] "which parties deviate significantly outdegreesf"
#> [1] "50Plus" "FvD" "PvdDieren" "PVV" "SGP"
#>
#> Call:
#> lm(formula = indegreesf ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -44.889 -15.165 -1.187 12.308 59.474
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 35.4196 2.4583 14.408 <2e-16 ***
#> Partij21 -16.4196 10.0757 -1.630 0.1055
#> Partij22 3.0541 5.1131 0.597 0.5513
#> Partij23 8.3804 9.0788 0.923 0.3576
#> Partij24 3.1068 5.1131 0.608 0.5445
#> Partij25 -13.7529 11.5476 -1.191 0.2358
#> Partij26 -7.4196 14.0356 -0.529 0.5979
#> Partij27 2.2233 5.7725 0.385 0.7007
#> Partij28 9.4693 6.9626 1.360 0.1761
#> Partij29 -6.6196 9.0788 -0.729 0.4672
#> Partij210 -12.1418 5.2211 -2.326 0.0215 *
#> Partij211 23.9138 11.5476 2.071 0.0403 *
#> Partij212 -0.5624 5.7725 -0.097 0.9225
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 21.24 on 134 degrees of freedom
#> Multiple R-squared: 0.1317, Adjusted R-squared: 0.05398
#> F-statistic: 1.694 on 12 and 134 DF, p-value: 0.07461
#>
#> [1] "which parties deviate significantly indegreesf"
#> [1] "PVV" "SGP"
#>
#> Call:
#> lm(formula = outdegreesatm ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -11.316 -4.301 -1.250 2.658 33.714
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 6.5757 0.8470 7.763 1.9e-12 ***
#> Partij21 -3.3257 3.4717 -0.958 0.33982
#> Partij22 -0.2072 1.7618 -0.118 0.90653
#> Partij23 0.2243 3.1282 0.072 0.94294
#> Partij24 4.7401 1.7618 2.691 0.00804 **
#> Partij25 -2.9090 3.9788 -0.731 0.46598
#> Partij26 -3.0757 4.8361 -0.636 0.52587
#> Partij27 4.0672 1.9890 2.045 0.04283 *
#> Partij28 0.6466 2.3990 0.270 0.78795
#> Partij29 2.2243 3.1282 0.711 0.47828
#> Partij210 -3.7979 1.7990 -2.111 0.03662 *
#> Partij211 -1.9090 3.9788 -0.480 0.63216
#> Partij212 3.7101 1.9890 1.865 0.06433 .
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 7.32 on 134 degrees of freedom
#> Multiple R-squared: 0.141, Adjusted R-squared: 0.0641
#> F-statistic: 1.833 on 12 and 134 DF, p-value: 0.04873
#>
#> [1] "which parties deviate significantly outdegreesatm"
#> [1] "D66" "GroenLinks" "PVV" "SP"
#>
#> Call:
#> lm(formula = indegreesatm ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -10.053 -3.204 -1.844 2.156 29.929
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 6.8106 0.7692 8.854 4.44e-15 ***
#> Partij21 -1.5606 3.1529 -0.495 0.6214
#> Partij22 1.3473 1.6000 0.842 0.4012
#> Partij23 0.7894 2.8409 0.278 0.7815
#> Partij24 3.2420 1.6000 2.026 0.0447 *
#> Partij25 -3.8106 3.6134 -1.055 0.2935
#> Partij26 -4.8106 4.3920 -1.095 0.2753
#> Partij27 3.2608 1.8063 1.805 0.0733 .
#> Partij28 2.9672 2.1787 1.362 0.1755
#> Partij29 -1.0106 2.8409 -0.356 0.7226
#> Partij210 -4.0884 1.6338 -2.502 0.0135 *
#> Partij211 2.5227 3.6134 0.698 0.4863
#> Partij212 2.1180 1.8063 1.173 0.2431
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 6.648 on 134 degrees of freedom
#> Multiple R-squared: 0.1389, Adjusted R-squared: 0.06176
#> F-statistic: 1.801 on 12 and 134 DF, p-value: 0.0539
#>
#> [1] "which parties deviate significantly indegreesatm"
#> [1] "D66" "GroenLinks" "PVV"
#>
#> Call:
#> lm(formula = outdegreesrt ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -10.4737 -2.7426 0.0714 2.5965 17.0938
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 5.6494 0.5402 10.458 < 2e-16 ***
#> Partij21 -4.3994 2.2141 -1.987 0.0490 *
#> Partij22 0.9295 1.1236 0.827 0.4095
#> Partij23 -1.0494 1.9950 -0.526 0.5998
#> Partij24 4.8243 1.1236 4.294 3.35e-05 ***
#> Partij25 -2.3161 2.5375 -0.913 0.3630
#> Partij26 -2.6494 3.0843 -0.859 0.3919
#> Partij27 2.4220 1.2685 1.909 0.0584 .
#> Partij28 -2.0938 1.5300 -1.369 0.1734
#> Partij29 0.1506 1.9950 0.075 0.9399
#> Partij210 2.9617 1.1473 2.581 0.0109 *
#> Partij211 -0.3161 2.5375 -0.125 0.9011
#> Partij212 1.2792 1.2685 1.008 0.3151
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 4.669 on 134 degrees of freedom
#> Multiple R-squared: 0.1896, Adjusted R-squared: 0.117
#> F-statistic: 2.613 on 12 and 134 DF, p-value: 0.003683
#>
#> [1] "which parties deviate significantly outdegreesrt"
#> [1] "50Plus" "D66" "GroenLinks" "PVV"
#>
#> Call:
#> lm(formula = indegreesrt ~ Partij2, data = keyf)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -10.790 -2.938 -0.500 3.031 19.062
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 5.3857 0.6011 8.959 2.44e-15 ***
#> Partij21 -3.3857 2.4638 -1.374 0.172
#> Partij22 1.2459 1.2503 0.996 0.321
#> Partij23 -0.3857 2.2201 -0.174 0.862
#> Partij24 5.4038 1.2503 4.322 2.99e-05 ***
#> Partij25 -2.7190 2.8237 -0.963 0.337
#> Partij26 -3.8857 3.4321 -1.132 0.260
#> Partij27 2.0429 1.4116 1.447 0.150
#> Partij28 -0.3857 1.7026 -0.227 0.821
#> Partij29 -0.7857 2.2201 -0.354 0.724
#> Partij210 2.8365 1.2767 2.222 0.028 *
#> Partij211 -2.7190 2.8237 -0.963 0.337
#> Partij212 2.1857 1.4116 1.548 0.124
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#>
#> Residual standard error: 5.195 on 134 degrees of freedom
#> Multiple R-squared: 0.1617, Adjusted R-squared: 0.0866
#> F-statistic: 2.153 on 12 and 134 DF, p-value: 0.01743
#>
#> [1] "which parties deviate significantly indegreesrt"
#> [1] "D66" "PVV"Model 1 - final
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
# myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = 'partij', name='fnnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'd66', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "fvd", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvdd", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "sgp", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "plus", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "pvv", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "sgp", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'sp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "sp", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "pvv", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "plus", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'plus', name='rtnet' )
load("ansM4b.RData")
myalgorithm <- sienaAlgorithmCreate(projname = "M2")
ansM5 <- siena07(myalgorithm, data = mydata, prevAns = ansM4b, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM5
save(ansM5, file = paste("ansM5", ".RData", sep = ""))
ansM5b <- siena07(myalgorithm, data = mydata, prevAns = ansM5, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM5b
save(ansM5b, file = paste("ansM5b", ".RData", sep = ""))
# Lets trim
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvdd", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "sgp", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "pvv", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'sgp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'sp', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'vvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "plus", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
load("ansM4b.RData") #start again from ansM4b
myalgorithm <- sienaAlgorithmCreate(projname = "M3")
ansM6 <- siena07(myalgorithm, data = mydata, prevAns = ansM4b, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM6
save(ansM6, file = paste("ansM6", ".RData", sep = ""))
ansM6b <- siena07(myalgorithm, data = mydata, prevAns = ansM6, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM6b
save(ansM6b, file = paste("ansM6b", ".RData", sep = ""))
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "fnet")
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "sgp", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "pvv", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'sgp', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'sp', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'vvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "plus", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
load("ansM4b.RData") #start again from ansM4b
myalgorithm <- sienaAlgorithmCreate(projname = "M4")
ansM7 <- siena07(myalgorithm, data = mydata, prevAns = ansM4b, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM7 # Overall maximum convergence ratio: 0.2501
save(ansM7, file = paste("ansM7", ".RData", sep = ""))
ansM7b <- siena07(myalgorithm, data = mydata, prevAns = ansM7, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM7b # Overall maximum convergence ratio: 0.2422
save(ansM7b, file = paste("ansM7b", ".RData", sep = ""))
load("ansM7b.RData")
ansM7c <- siena07(myalgorithm, data = mydata, prevAns = ansM7, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM7c
save(ansM7c, file = paste("ansM7c", ".RData", sep = ""))
# third trim
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
# Estimates
load("ansM8c.RData") #start again from ansM4b
ansM4b
myalgorithm <- sienaAlgorithmCreate(projname = "M5")
ansM8 <- siena07(myalgorithm, data = mydata, prevAns = ansM4b, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM8
save(ansM8, file = paste("ansM8", ".RData", sep = ""))
ansM8b <- siena07(myalgorithm, data = mydata, prevAns = ansM8, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM8b
save(ansM8b, file = paste("ansM8b", ".RData", sep = ""))
ansM8c <- siena07(myalgorithm, data = mydata, prevAns = ansM8b, effects = myeff_m2, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM8c #Overall maximum convergence ratio: 0.2471
save(ansM8c, file = paste("ansM8c", ".RData", sep = ""))| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| rate 1 | 4.626 | 0.293 |
| rate 2 | 2.035 | 0.130 |
| outdegree | -13.307 | 1.871 |
| reciprocity | 0.848 | 0.114 |
| transitive triplets | 0.037 | 0.007 |
| shared popularity | -0.001 | 0.000 |
| indegree - popularity | 0.351 | 0.062 |
| outdegree - popularity | -0.186 | 0.034 |
| outdegree - activity | 1.328 | 0.250 |
| seating distance (dyad) | -0.022 | 0.007 |
| same party (dyad) | 1.083 | 0.146 |
| incumbancy status (alter) | -0.507 | 0.087 |
| same incumbancy status (dyad) | 0.165 | 0.083 |
| position on election list (ego) | 0.542 | 0.154 |
| Atmention | ||
| rate 1 | 66.540 | 48.362 |
| rate 2 | 13.365 | 0.943 |
| outdegree | -4.215 | 0.140 |
| reciprocity | 1.402 | 0.090 |
| transitive triplets | 0.066 | 0.036 |
| shared popularity | -0.008 | 0.010 |
| indegree - popularity | 0.395 | 0.051 |
| outdegree - popularity | -0.096 | 0.039 |
| outdegree - activity | 0.256 | 0.025 |
| same party (dyad) | 0.918 | 0.054 |
| party Liberal Democrats (alter) | -0.104 | 0.071 |
| party GreenLeft (alter) | -0.171 | 0.084 |
| party GreenLeft (ego) | 0.135 | 0.070 |
| position on election list (alter) | -0.012 | 0.003 |
| party leader (alter) | 0.129 | 0.092 |
| Retweets | ||
| party leader (ego) | -0.300 | 0.096 |
| rate 1 | 18.468 | 1.760 |
| rate 2 | 17.263 | 1.437 |
| outdegree | -3.923 | 0.164 |
| reciprocity | 0.615 | 0.094 |
| transitive triplets | 0.157 | 0.025 |
| shared popularity | -0.014 | 0.005 |
| indegree - popularity | 0.393 | 0.045 |
| outdegree - popularity | -0.271 | 0.059 |
| outdegree - activity | 0.162 | 0.027 |
| seating distance (dyad) | -0.031 | 0.006 |
| same party (dyad) | 1.386 | 0.078 |
| party Liberal Democrats (ego) | -0.427 | 0.074 |
| party Freedom Party (ego) | -0.180 | 0.084 |
| incumbancy status (alter) | -0.082 | 0.046 |
| incumbancy status (ego) | -0.114 | 0.045 |
| position on election list (alter) | -0.012 | 0.004 |
| party leader (alter) | 0.122 | 0.079 |
| Note: | ||
| Overall maximum convergence ratio: 0.247 | ||
Model 2
To what extent do we observe social inbreeding homophily and to what extent does this explain the impact of the same-party variable (Hypotheses 2a and 2b)
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_m3 <- myeff_m2
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "atmnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name = "atmnet")
# Estimates
load("ansM8c.RData")
myalgorithm <- sienaAlgorithmCreate(projname = "M9")
ansM9 <- siena07(myalgorithm, data = mydata, prevAns = ansM8c, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM9
save(ansM9, file = paste("ansM9", ".RData", sep = ""))
ansM9b <- siena07(myalgorithm, data = mydata, prevAns = ansM9, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM9b
save(ansM9b, file = paste("ansM9b", ".RData", sep = ""))
ansM9c <- siena07(myalgorithm, data = mydata, prevAns = ansM9b, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM9c
save(ansM9c, file = paste("ansM9c", ".RData", sep = ""))
# Trim social inbreeding homophily
# Only ego alter. we leave dyad in. Note, we now also exclude rtnet:kamerlid2016 alter Effects
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' ) myeff_m2
# <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_m3 <- myeff_m2
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "atmnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'vrouw', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='rtnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "atmnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'lft', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='fnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='rtnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "atmnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='atmnet' )
# Estimates
load("ansM8c.RData")
myalgorithm <- sienaAlgorithmCreate(projname = "M10")
ansM10 <- siena07(myalgorithm, data = mydata, prevAns = ansM8c, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM10
save(ansM10, file = paste("ansM10", ".RData", sep = ""))
ansM10b <- siena07(myalgorithm, data = mydata, prevAns = ansM10, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
ansM10b
save(ansM10b, file = paste("ansM10b", ".RData", sep = ""))
# switching to different computer
load("ansM10c.RData")
ansM10b
ansM10c <- siena07(myalgorithm, data = mydata, prevAns = ansM10b, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 12, initC = TRUE, batch = TRUE)
ansM10c # Overall maximum convergence ratio: 0.2528
save(ansM10c, file = paste("ansM10c", ".RData", sep = ""))
ansM10d <- siena07(myalgorithm, data = mydata, prevAns = ansM10c, effects = myeff_m3, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM10d
save(ansM10d, file = paste("ansM10d", ".RData", sep = ""))| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| rate 1 | 4.662 | 0.244 |
| rate 2 | 2.034 | 0.129 |
| outdegree | -13.798 | 2.269 |
| reciprocity | 0.862 | 0.112 |
| transitive triplets | 0.038 | 0.007 |
| shared popularity | -0.001 | 0.000 |
| indegree - popularity (sqrt) | 0.350 | 0.063 |
| outdegree - popularity (sqrt) | -0.205 | 0.036 |
| outdegree - activity (sqrt) | 1.410 | 0.307 |
| seating distance (dyad) | -0.023 | 0.006 |
| same party (dyad) | 1.090 | 0.154 |
| same ethnic minority status (dyad) | -0.389 | 0.138 |
| woman (alter) | 0.241 | 0.082 |
| same sex (dyad) | 0.129 | 0.080 |
| age (alter) | -0.017 | 0.005 |
| age (ego) | -0.139 | 0.051 |
| absolute difference age (dyad) | 0.035 | 0.006 |
| incumbancy status (alter) | -0.401 | 0.097 |
| same incumbancy status (dyad) | 0.178 | 0.082 |
| position on election list (ego) | 0.583 | 0.170 |
| Atmention | ||
| rate 1 | 65.642 | 7.638 |
| rate 2 | 13.348 | 0.913 |
| outdegree | -4.298 | 0.157 |
| reciprocity | 1.406 | 0.109 |
| transitive triplets | 0.066 | 0.027 |
| shared popularity | -0.008 | 0.007 |
| indegree - popularity (sqrt) | 0.394 | 0.046 |
| outdegree - popularity (sqrt) | -0.096 | 0.042 |
| outdegree - activity (sqrt) | 0.254 | 0.023 |
| same party (dyad) | 0.921 | 0.057 |
| party Liberal Democrats (alter) | -0.111 | 0.061 |
| party GreenLeft (alter) | -0.156 | 0.074 |
| party GreenLeft (ego) | 0.141 | 0.063 |
| same ethnic minority status (dyad) | 0.074 | 0.052 |
| same sex (dyad) | 0.054 | 0.044 |
| absolute difference age (dyad) | 0.000 | 0.003 |
| position on election list (alter) | -0.011 | 0.003 |
| party leader (alter) | 0.125 | 0.088 |
| party leader (ego) | -0.308 | 0.101 |
| Retweets | ||
| rate 1 | 18.709 | 1.543 |
| rate 2 | 17.354 | 1.590 |
| outdegree | -4.055 | 0.186 |
| reciprocity | 0.615 | 0.087 |
| transitive triplets | 0.157 | 0.024 |
| shared popularity | -0.013 | 0.005 |
| indegree - popularity (sqrt) | 0.387 | 0.047 |
| outdegree - popularity (sqrt) | -0.278 | 0.056 |
| outdegree - activity (sqrt) | 0.156 | 0.027 |
| seating distance (dyad) | -0.031 | 0.006 |
| same party (dyad) | 1.388 | 0.083 |
| party Liberal Democrats (ego) | -0.413 | 0.078 |
| party Freedom Party (ego) | -0.146 | 0.081 |
| ethnic minority status (ego) | 0.169 | 0.092 |
| same ethnic minority status (dyad) | 0.115 | 0.081 |
| woman (alter) | 0.104 | 0.051 |
| women (ego) | 0.128 | 0.048 |
| same sex (dyad) | 0.127 | 0.050 |
| age (alter) | -0.009 | 0.003 |
| absolute difference age (dyad) | 0.001 | 0.003 |
| incumbancy status (ego) | -0.110 | 0.045 |
| position on election list (alter) | -0.010 | 0.004 |
| party leader (alter) | 0.186 | 0.085 |
| Note: | ||
| Overall maximum convergence ratio: 0.208 | ||
Model 3
Cross-network effects. Hypotheses 4.
Remove the non-significant social inbreeding parameters (t-value < 1):
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' ) myeff_m2
# <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_m3 <- myeff_m2
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "atmnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'vrouw', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = 'lft', name='rtnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='rtnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = 'lft', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'lft', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='fnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='rtnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "atmnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='atmnet' )
myeff_m4 <- myeff_m3
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "fnet", name = "rtnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "fnet", name = "atmnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "rtnet", name = "fnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "rtnet", name = "atmnet")
# myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1='atmnet', name='fnet' ) #needs to be
# dropped due to convergence
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "atmnet", name = "rtnet")
# ik doe het een, jij doet het ander terug
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "fnet", name = "rtnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "fnet", name = "atmnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "rtnet", name = "fnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "rtnet", name = "atmnet")
# myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1='atmnet', name='fnet' ) #needs to
# be dropped due to convergence
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "atmnet", name = "rtnet")
myeff_m4
# Estimation
load("ansM10c.RData")
ansM10c
myalgorithm <- sienaAlgorithmCreate(projname = "M11")
ansM11 <- siena07(myalgorithm, data = mydata, prevAns = ansM10c, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM11
save(ansM11, file = paste("ansM11", ".RData", sep = ""))
ansM11b <- siena07(myalgorithm, data = mydata, prevAns = ansM11, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM11b
save(ansM11b, file = paste("ansM11b", ".RData", sep = ""))
ansM11c <- siena07(myalgorithm, data = mydata, prevAns = ansM11b, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM11c # Overall maximum convergence ratio: 0.2839
save(ansM11c, file = paste("ansM11c", ".RData", sep = ""))
# lets trim
# effects
myeff <- getEffects(mydata)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' ) myeff_m2
# <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='rtnet' )
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_m3 <- myeff_m2
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = 'vrouw', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'vrouw', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'vrouw', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, absDiffX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name = "fnet")
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = 'lft', name='rtnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='rtnet' )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = 'lft', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'lft', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'lft', name='atmnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "fnet")
# myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='fnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='fnet' )
myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name = "rtnet")
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name = "rtnet")
# myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='rtnet' )
# myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = 'ethminz', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, egoX, interaction1 = 'ethminz', name='atmnet' ) myeff_m3 <-
# includeEffects(myeff_m3, altX, interaction1 = 'ethminz', name='atmnet' )
myeff_m4 <- myeff_m3
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "fnet", name = "rtnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "fnet", name = "atmnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "rtnet", name = "fnet")
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "rtnet", name = "atmnet")
# myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1='atmnet', name='fnet' ) #needs to be
# dropped due to convergence
myeff_m4 <- includeEffects(myeff_m4, crprod, interaction1 = "atmnet", name = "rtnet")
# ik doe het een, jij doet het ander terug
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "fnet", name = "rtnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "fnet", name = "atmnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "rtnet", name = "fnet")
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "rtnet", name = "atmnet")
# myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1='atmnet', name='fnet' ) #needs to
# be dropped due to convergence
myeff_m4 <- includeEffects(myeff_m4, crprodRecip, interaction1 = "atmnet", name = "rtnet")
myeff_m4
# estimates
load("ansM11c.RData")
ansM11c
myalgorithm <- sienaAlgorithmCreate(projname = "M12")
ansM12 <- siena07(myalgorithm, data = mydata, prevAns = ansM11c, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM12 # Overall maximum convergence ratio: 0.2562
save(ansM12, file = paste("ansM12", ".RData", sep = ""))
ansM12b <- siena07(myalgorithm, data = mydata, prevAns = ansM12, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM12b # Overall maximum convergence ratio: 0.3631
save(ansM12b, file = paste("ansM12b", ".RData", sep = ""))
ansM12c <- siena07(myalgorithm, data = mydata, prevAns = ansM12b, effects = myeff_m4, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM12c #Overall maximum convergence ratio: 0.2951
save(ansM12c, file = paste("ansM12c", ".RData", sep = ""))#> Estimates, standard errors and convergence t-ratios
#>
#> Estimate Standard Convergence
#> Error t-ratio
#> 1. rate constant fnet rate (period 1) 4.6665 ( 0.2813 ) -0.0190
#> 2. rate constant fnet rate (period 2) 2.0356 ( 0.1319 ) 0.0134
#> 3. eval fnet: outdegree (density) -13.7764 ( 2.2506 ) -0.0236
#> 4. eval fnet: reciprocity 0.8124 ( 0.1193 ) -0.0369
#> 5. eval fnet: transitive triplets 0.0368 ( 0.0076 ) -0.0378
#> 6. eval fnet: shared popularity -0.0007 ( 0.0004 ) -0.0315
#> 7. eval fnet: indegree - popularity (sqrt) 0.3436 ( 0.0629 ) -0.0259
#> 8. eval fnet: outdegree - popularity (sqrt) -0.1998 ( 0.0382 ) -0.0271
#> 9. eval fnet: outdegree - activity (sqrt) 1.4080 ( 0.3173 ) -0.0300
#> 10. eval fnet: afstand -0.0223 ( 0.0067 ) 0.0083
#> 11. eval fnet: same partij 0.7547 ( 0.1885 ) 0.0068
#> 12. eval fnet: same ethminz -0.4099 ( 0.1449 ) -0.0297
#> 13. eval fnet: vrouw alter 0.2355 ( 0.0835 ) -0.0203
#> 14. eval fnet: same vrouw 0.1304 ( 0.0874 ) -0.0255
#> 15. eval fnet: lft alter -0.0157 ( 0.0052 ) -0.0096
#> 16. eval fnet: lft ego -0.1371 ( 0.0605 ) 0.0221
#> 17. eval fnet: lft abs. difference 0.0340 ( 0.0069 ) -0.0169
#> 18. eval fnet: kamerlid2016 alter -0.3924 ( 0.1086 ) -0.0309
#> 19. eval fnet: same kamerlid2016 0.1819 ( 0.0876 ) -0.0064
#> 20. eval fnet: pleklijst ego 0.5845 ( 0.1658 ) 0.0050
#> 21. eval fnet: rtnet 1.7184 ( 0.5357 ) 0.0189
#> 22. eval fnet: reciprocity with rtnet 0.6771 ( 0.4828 ) 0.0346
#> 23. rate constant atmnet rate (period 1) 91.8354 ( 51.4693 ) -0.0374
#> 24. rate constant atmnet rate (period 2) 14.1123 ( 1.0499 ) 0.0476
#> 25. eval atmnet: outdegree (density) -4.3818 ( 0.1511 ) -0.0250
#> 26. eval atmnet: reciprocity 1.2119 ( 0.1091 ) -0.0284
#> 27. eval atmnet: transitive triplets 0.0294 ( 0.0278 ) -0.0280
#> 28. eval atmnet: shared popularity -0.0053 ( 0.0061 ) -0.0293
#> 29. eval atmnet: indegree - popularity (sqrt) 0.4189 ( 0.0381 ) -0.0302
#> 30. eval atmnet: outdegree - popularity (sqrt) -0.1176 ( 0.0255 ) -0.0298
#> 31. eval atmnet: outdegree - activity (sqrt) 0.2575 ( 0.0196 ) -0.0202
#> 32. eval atmnet: same partij 0.4064 ( 0.1061 ) -0.0149
#> 33. eval atmnet: d66 alter -0.1490 ( 0.0625 ) -0.0090
#> 34. eval atmnet: gl alter -0.1383 ( 0.0720 ) 0.0457
#> 35. eval atmnet: gl ego 0.1275 ( 0.0616 ) 0.0491
#> 36. eval atmnet: pleklijst alter -0.0062 ( 0.0033 ) 0.0449
#> 37. eval atmnet: pleklijst1 ego -0.2757 ( 0.1175 ) -0.0318
#> 38. eval atmnet: fnet 0.3997 ( 0.0723 ) -0.0253
#> 39. eval atmnet: reciprocity with fnet 0.1585 ( 0.0658 ) -0.0291
#> 40. eval atmnet: rtnet 0.4539 ( 0.2119 ) -0.0287
#> 41. eval atmnet: reciprocity with rtnet 0.2453 ( 0.1808 ) -0.0143
#> 42. rate constant rtnet rate (period 1) 20.6431 ( 1.6923 ) -0.0399
#> 43. rate constant rtnet rate (period 2) 19.4538 ( 2.1251 ) 0.0066
#> 44. eval rtnet: outdegree (density) -4.1255 ( 0.2076 ) 0.0318
#> 45. eval rtnet: reciprocity 0.1759 ( 0.1139 ) -0.0061
#> 46. eval rtnet: transitive triplets 0.1408 ( 0.0254 ) 0.0079
#> 47. eval rtnet: shared popularity -0.0088 ( 0.0047 ) 0.0012
#> 48. eval rtnet: indegree - popularity (sqrt) 0.3570 ( 0.0466 ) 0.0224
#> 49. eval rtnet: outdegree - popularity (sqrt) -0.3574 ( 0.0695 ) 0.0202
#> 50. eval rtnet: outdegree - activity (sqrt) 0.1010 ( 0.0297 ) 0.0339
#> 51. eval rtnet: afstand -0.0196 ( 0.0061 ) -0.0325
#> 52. eval rtnet: same partij 1.1059 ( 0.0925 ) 0.0300
#> 53. eval rtnet: d66 ego -0.3916 ( 0.0917 ) -0.0085
#> 54. eval rtnet: pvv ego 0.3224 ( 0.1028 ) -0.0379
#> 55. eval rtnet: ethminz ego 0.1760 ( 0.1007 ) -0.0196
#> 56. eval rtnet: same ethminz 0.1339 ( 0.0940 ) 0.0295
#> 57. eval rtnet: vrouw alter 0.1160 ( 0.0559 ) -0.0134
#> 58. eval rtnet: vrouw ego 0.1235 ( 0.0534 ) 0.0471
#> 59. eval rtnet: same vrouw 0.1146 ( 0.0563 ) 0.0224
#> 60. eval rtnet: lft alter -0.0070 ( 0.0030 ) -0.0164
#> 61. eval rtnet: kamerlid2016 ego -0.1297 ( 0.0499 ) 0.0471
#> 62. eval rtnet: pleklijst1 alter 0.1656 ( 0.0898 ) 0.0547
#> 63. eval rtnet: fnet 0.6467 ( 0.0924 ) 0.0326
#> 64. eval rtnet: reciprocity with fnet 0.2506 ( 0.0757 ) 0.0341
#> 65. eval rtnet: atmnet 0.8007 ( 0.2282 ) 0.0207
#> 66. eval rtnet: reciprocity with atmnet 0.9880 ( 0.2308 ) 0.0208
#>
#> Overall maximum convergence ratio: 0.2562
#>
#>
#> Total of 2470 iteration steps.Model 4
Here we test Hypothesis 5 on time trends in the impact of the same-party variable.
sienaTimeTest
load("ansM8c.RData")
tt <- sienaTimeTest(ansM8c, effects = c(11, 24, 41))
# tt tt$EffectTest tt$IndividualTest
plot(tt)
Model 4 - final
myeff_t <- myeff_m2
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "fnet", timeDummy = "2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "atmnet", timeDummy = "2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "rtnet", timeDummy = "2")
myeff_t
myalgorithm <- sienaAlgorithmCreate(projname = "M8c_t", nsub = 5, n3 = 5000)
ansM8c_t <- siena07(myalgorithm, data = mydata, prevAns = ansM8c, effects = myeff_t, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM8c_t
save(ansM8c_t, file = paste("ansM8c_t", ".RData", sep = ""))load("ansM8c_t.RData")
# xtable.sienaFit(ansM8c_t, file='ansM8c_t.html', type='html', digits=3)
res <- round(fanscsv(ansM8c_t)[c(11, 16, 26, 34, 45, 53), 1:2], 5)
mc <- as.character(round(fanscsv(ansM8c_t)[54, 1], 3))
row.names(res) <- c("same party (dyad)", "time*same party", "same party (dyad)", "time*same party", "same party (dyad)",
"time*same party")
M4 <- kbl(res, booktabs = TRUE, digits = 3, caption = "Model 4", align = "c") %>%
kable_classic(full_width = F, html_font = "Cambria") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
column_spec(column = 1, width = "3in") %>%
# row_spec(c(11, 24,41), bold = T, color = 'white', background = '#D7261E') %>%
group_rows(index = c(Following = 2, Atmention = 2, Retweets = 2)) %>%
footnote(general = paste("Overall maximum convergence ratio: ", mc, sep = ""))
M4| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| same party (dyad) | 1.215 | 0.157 |
| time*same party | 0.957 | 0.278 |
| Atmention | ||
| same party (dyad) | 0.804 | 0.060 |
| time*same party | -0.448 | 0.099 |
| Retweets | ||
| same party (dyad) | 1.386 | 0.079 |
| time*same party | 0.265 | 0.056 |
| Note: | ||
| Overall maximum convergence ratio: 0.149 | ||
Model RR
An anonymous reviewer suggested to try to disentangle the impact of physical seating distance from ideological distance. We therefore added to the party to which each MP belongs a general left-right position according to the Chapel Hill Survey (Jolly et al. 2022).
Load data objects
Data objects:
- key:
information on all politicians on election list
- twitter
- keyf: information on all 147 MPs with twitter handle
- mydata: RSiena object with all kind of goodies inside
- seats: seating coordinates of HoP (used for plotting)
- keyf: information on all 147 MPs with twitter handle
- CHES: information on party positions see also (Jolly et al. 2022)
As the ideological position of parties was not included in our original data object we need to fix that.
# STAP 1: read in data
key <- read.spss("data-processed\\key moederbestand 20171114.sav", use.value.labels = T, to.data.frame = T)
load("data-processed\\twitter_20190919.RData")
# str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]
ches$Partij <- ches$party
keyf <- left_join(keyf, ches)
# deconstruct dataobject
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars
fnet <- sienaNet(deps$fnet)
atmnet <- sienaNet(deps$atmnet)
rtnet <- sienaNet(deps$rtnet)
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1
# add new variable
partypos <- coCovar(keyf$lrgen)
# reconstruct dataobject
mydata_RR <- sienaDataCreate(fnet, atmnet, rtnet, afstand, egohandle, egoid, partij, coalitie, cda, cu,
denk, d66, fvd, gl, pvda, pvdd, pvv, sgp, sp, vvd, plus, ethminz, vrouw, lft, kamerlid2016, kabinet2016,
pleklijst, pleklijst1, partypos)Define effects
myeff <- getEffects(mydata_RR)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_RR <- myeff_m2
myeff_RR <- includeEffects(myeff_RR, interaction1 = "partypos", absDiffX, name = "fnet")
myeff_RR <- includeEffects(myeff_RR, interaction1 = "partypos", absDiffX, name = "rtnet")myeff_RR#> name effectName include fix test initialValue parm
#> 1 fnet constant fnet rate (period 1) TRUE FALSE FALSE 7.22021 0
#> 2 fnet constant fnet rate (period 2) TRUE FALSE FALSE 3.79571 0
#> 3 fnet fnet: outdegree (density) TRUE FALSE FALSE 0.00000 0
#> 4 fnet fnet: reciprocity TRUE FALSE FALSE 0.00000 0
#> 5 fnet fnet: transitive triplets TRUE FALSE FALSE 0.00000 0
#> 6 fnet fnet: shared popularity TRUE FALSE FALSE 0.00000 1
#> 7 fnet fnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 8 fnet fnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 9 fnet fnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1
#> 10 fnet fnet: afstand TRUE FALSE FALSE 0.00000 0
#> 11 fnet fnet: same partij TRUE FALSE FALSE 0.00000 0
#> 12 fnet fnet: kamerlid2016 alter TRUE FALSE FALSE 0.00000 0
#> 13 fnet fnet: same kamerlid2016 TRUE FALSE FALSE 0.00000 0
#> 14 fnet fnet: pleklijst ego TRUE FALSE FALSE 0.00000 0
#> 15 fnet fnet: partypos abs. difference TRUE FALSE FALSE 0.00000 0
#> 16 atmnet constant atmnet rate (period 1) TRUE FALSE FALSE 16.26089 0
#> 17 atmnet constant atmnet rate (period 2) TRUE FALSE FALSE 9.17902 0
#> 18 atmnet atmnet: outdegree (density) TRUE FALSE FALSE -1.76137 0
#> 19 atmnet atmnet: reciprocity TRUE FALSE FALSE 0.00000 0
#> 20 atmnet atmnet: transitive triplets TRUE FALSE FALSE 0.00000 0
#> 21 atmnet atmnet: shared popularity TRUE FALSE FALSE 0.00000 1
#> 22 atmnet atmnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 23 atmnet atmnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 24 atmnet atmnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1
#> 25 atmnet atmnet: same partij TRUE FALSE FALSE 0.00000 0
#> 26 atmnet atmnet: d66 alter TRUE FALSE FALSE 0.00000 0
#> 27 atmnet atmnet: gl alter TRUE FALSE FALSE 0.00000 0
#> 28 atmnet atmnet: gl ego TRUE FALSE FALSE 0.00000 0
#> 29 atmnet atmnet: pleklijst alter TRUE FALSE FALSE 0.00000 0
#> 30 atmnet atmnet: pleklijst1 alter TRUE FALSE FALSE 0.00000 0
#> 31 atmnet atmnet: pleklijst1 ego TRUE FALSE FALSE 0.00000 0
#> 32 rtnet constant rtnet rate (period 1) TRUE FALSE FALSE 10.98716 0
#> 33 rtnet constant rtnet rate (period 2) TRUE FALSE FALSE 9.39819 0
#> 34 rtnet rtnet: outdegree (density) TRUE FALSE FALSE -1.61392 0
#> 35 rtnet rtnet: reciprocity TRUE FALSE FALSE 0.00000 0
#> 36 rtnet rtnet: transitive triplets TRUE FALSE FALSE 0.00000 0
#> 37 rtnet rtnet: shared popularity TRUE FALSE FALSE 0.00000 1
#> 38 rtnet rtnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 39 rtnet rtnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0
#> 40 rtnet rtnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1
#> 41 rtnet rtnet: afstand TRUE FALSE FALSE 0.00000 0
#> 42 rtnet rtnet: same partij TRUE FALSE FALSE 0.00000 0
#> 43 rtnet rtnet: d66 ego TRUE FALSE FALSE 0.00000 0
#> 44 rtnet rtnet: pvv ego TRUE FALSE FALSE 0.00000 0
#> 45 rtnet rtnet: kamerlid2016 alter TRUE FALSE FALSE 0.00000 0
#> 46 rtnet rtnet: kamerlid2016 ego TRUE FALSE FALSE 0.00000 0
#> 47 rtnet rtnet: pleklijst alter TRUE FALSE FALSE 0.00000 0
#> 48 rtnet rtnet: pleklijst1 alter TRUE FALSE FALSE 0.00000 0
#> 49 rtnet rtnet: partypos abs. difference TRUE FALSE FALSE 0.00000 0estimate model
myalgorithmRR <- sienaAlgorithmCreate(projname = "RR")
ansRR1 <- siena07(myalgorithmRR, data = mydata_RR, prevAns = ansM8c, effects = myeff_RR, useCluster = TRUE,
nbrNodes = 8, initC = TRUE, batch = TRUE)
# save(ansRR1, file=paste('ansRR1','.RData',sep=''))Model RR - final
The parameters of interest are in red.
load("ansRR1.RData")
res <- round(fanscsv(ansRR1)[, 1:2], 5)
mcpos <- length(res[, 1])
res <- res[-mcpos, ]
mc <- as.character(round(fanscsv(ansRR1)[mcpos, 1], 3))
row.names(res) <- c("rate 1", "rate 2", "outdegree", "reciprocity", "transitive triplets", "shared popularity",
"indegree - popularity", " outdegree - popularity", "outdegree - activity", "seating distance (dyad)",
"same party (dyad)", "incumbancy status (alter)", "same incumbancy status (dyad)", "position on election list (ego)",
"ideological distance (dyad)", "rate 1", "rate 2", "outdegree", "reciprocity", "transitive triplets",
"shared popularity", "indegree - popularity", "outdegree - popularity", "outdegree - activity ",
"same party (dyad)", "party Liberal Democrats (alter)", "party GreenLeft (alter)", "party GreenLeft (ego)",
"position on election list (alter)", "party leader (alter)", "party leader (ego)", "rate 1", "rate 2",
"outdegree", "reciprocity", "transitive triplets", "shared popularity", "indegree - popularity ",
"outdegree - popularity", "outdegree - activity ", "seating distance (dyad)", "same party (dyad)",
"party Liberal Democrats (ego)", "party Freedom Party (ego)", "incumbancy status (alter)", "incumbancy status (ego)",
"position on election list (alter)", "party leader (alter)", "ideological distance (dyad)")
RR1 <- kbl(res, booktabs = TRUE, digits = 3, caption = "Model RR: including ideological distance", align = "c") %>%
kable_classic(full_width = F, html_font = "Cambria") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
column_spec(column = 1, width = "3in") %>%
row_spec(c(10, 15, 41, 49), bold = T, color = "white", background = "#D7261E") %>%
group_rows(index = c(Following = 15, Atmention = 16, Retweets = 18)) %>%
footnote(general = paste("Overall maximum convergence ratio: ", mc, sep = ""))
RR1| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| rate 1 | 4.625 | 0.239 |
| rate 2 | 2.033 | 0.129 |
| outdegree | -13.152 | 2.155 |
| reciprocity | 0.842 | 0.119 |
| transitive triplets | 0.037 | 0.007 |
| shared popularity | -0.001 | 0.000 |
| indegree - popularity | 0.362 | 0.061 |
| outdegree - popularity | -0.189 | 0.035 |
| outdegree - activity | 1.329 | 0.279 |
| seating distance (dyad) | -0.014 | 0.007 |
| same party (dyad) | 0.943 | 0.165 |
| incumbancy status (alter) | -0.506 | 0.090 |
| same incumbancy status (dyad) | 0.169 | 0.080 |
| position on election list (ego) | 0.535 | 0.138 |
| ideological distance (dyad) | -0.092 | 0.047 |
| Atmention | ||
| rate 1 | 66.540 | NA |
| rate 2 | 13.352 | 1.185 |
| outdegree | -4.213 | 0.122 |
| reciprocity | 1.406 | 0.112 |
| transitive triplets | 0.065 | 0.027 |
| shared popularity | -0.008 | 0.007 |
| indegree - popularity | 0.397 | 0.046 |
| outdegree - popularity | -0.098 | 0.042 |
| outdegree - activity | 0.255 | 0.018 |
| same party (dyad) | 0.918 | 0.062 |
| party Liberal Democrats (alter) | -0.104 | 0.062 |
| party GreenLeft (alter) | -0.171 | 0.074 |
| party GreenLeft (ego) | 0.136 | 0.062 |
| position on election list (alter) | -0.012 | 0.003 |
| party leader (alter) | 0.124 | 0.087 |
| party leader (ego) | -0.305 | 0.109 |
| Retweets | ||
| rate 1 | 18.399 | 1.465 |
| rate 2 | 17.266 | 1.486 |
| outdegree | -3.844 | 0.161 |
| reciprocity | 0.616 | 0.102 |
| transitive triplets | 0.158 | 0.024 |
| shared popularity | -0.014 | 0.005 |
| indegree - popularity | 0.394 | 0.046 |
| outdegree - popularity | -0.270 | 0.061 |
| outdegree - activity | 0.163 | 0.025 |
| seating distance (dyad) | -0.029 | 0.007 |
| same party (dyad) | 1.318 | 0.103 |
| party Liberal Democrats (ego) | -0.427 | 0.084 |
| party Freedom Party (ego) | -0.179 | 0.084 |
| incumbancy status (alter) | -0.084 | 0.048 |
| incumbancy status (ego) | -0.114 | 0.045 |
| position on election list (alter) | -0.012 | 0.004 |
| party leader (alter) | 0.119 | 0.084 |
| ideological distance (dyad) | -0.035 | 0.038 |
| Note: | ||
| Overall maximum convergence ratio: 0.217 | ||
Model RR2
An anonymous reviewer argued that the last candidate elected from each party election list may posses “a heightened interest in active social network engagement to promote themselves or, conversely, aim to develop an individual discourse to bolster their political careers beyond the current legislative term” and suggested to assess the extent to which the same-party effect (party based similarity preferences) would be different for these specific MPs.
Load data objects
Data objects:
- key:
information on all politicians on election list
- twitter
- keyf: information on all 147 MPs with twitter handle
- mydata: RSiena object with all kind of goodies inside
- seats: seating coordinates of HoP (used for plotting)
- keyf: information on all 147 MPs with twitter handle
- CHES: information on party positions see also (Jolly et al. 2022)
#STAP 1: read in data
library(haven)
ches <- read_dta("./data-raw/CHES_means_2017.dta")
ches <- as.data.frame(ches)
ches <- ches[ches$country==10,]
key <- read.spss('data-processed\\key moederbestand 20171114.sav', use.value.labels=T, to.data.frame=T)
load("data-processed\\twitter_20190919.RData")
#str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]
keyf %>% group_by(Partij) %>%
summarise(maxlist = max(PlekLijst), #note there are MPs with preference votes.
nseats = n()) -> keyf_temp
#correct for three missing MPs.
keyf_temp$nseats[keyf_temp$Partij=="VVD"] <- keyf_temp$nseats[keyf_temp$Partij=="VVD"] + 1
keyf_temp$nseats[keyf_temp$Partij=="PVV"] <- keyf_temp$nseats[keyf_temp$Partij=="PVV"] + 2
keyf <- left_join(keyf, keyf_temp)
keyf$lastlist <- ifelse(keyf$PlekLijst>=keyf$nseats, 1, 0)
ches$Partij <- ches$party
keyf <- left_join(keyf, ches)
#deconstruct dataobject
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars
fnet <- sienaNet(deps$fnet)
atmnet <- sienaNet(deps$atmnet)
rtnet <- sienaNet(deps$rtnet)
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1
#add new variables
partypos <- coCovar(keyf$lrgen)
lastlist <- coCovar(keyf$lastlist)
nseats <- coCovar(keyf$nseats)
table(coalitie, partij)#> partij
#> coalitie -7.93197278911565 -6.93197278911565 -5.93197278911565 -4.93197278911565
#> -0.510204081632653 0 0 3 0
#> 0.489795918367347 19 5 0 19
#> partij
#> coalitie -3.93197278911565 -1.93197278911565 0.0680272108843543 1.06802721088435
#> -0.510204081632653 2 14 9 5
#> 0.489795918367347 0 0 0 0
#> partij
#> coalitie 2.06802721088435 3.06802721088435 4.06802721088435 6.06802721088435
#> -0.510204081632653 18 3 14 0
#> 0.489795918367347 0 0 0 32
#> partij
#> coalitie 7.06802721088435
#> -0.510204081632653 4
#> 0.489795918367347 0#reconstruct dataobject
mydata_RR2 <- sienaDataCreate(fnet,
atmnet,
rtnet,
afstand,
egohandle,
egoid,
partij,
coalitie,
cda,
cu,
denk,
d66,
fvd,
gl,
pvda,
pvdd,
pvv,
sgp,
sp,
vvd,
plus,
ethminz,
vrouw,
lft,
kamerlid2016,
kabinet2016,
pleklijst,
pleklijst1,
partypos,
lastlist,
nseats)Define effects
Interaction ‘same party’ with ‘last on list’.
myeff <- getEffects(mydata_RR2)
myeff_m1 <- myeff
# according to suggestion of rsiena manual
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, inPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outActSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, outPopSqrt, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, transTrip, name = "rtnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "fnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "atmnet")
myeff_m1 <- includeEffects(myeff_m1, sharedPop, name = "rtnet")
myeff_m2 <- myeff_m1
#'kamerlid2016' 'pleklijst' 'pleklijst1'
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', altX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet' ) myeff_m2
# <- setEffect( myeff_m2, interaction1='kamerlid2016', egoX, name='fnet', fix=TRUE, initialValue =
# -3, test=TRUE )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', egoX, name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", egoX, name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "kamerlid2016", sameX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='kamerlid2016', sameX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", altX, name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst1", egoX, name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst1', egoX, name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", egoX, name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, interaction1='pleklijst', egoX, name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, interaction1='pleklijst', altX, name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "atmnet")
myeff_m2 <- includeEffects(myeff_m2, interaction1 = "pleklijst", altX, name = "rtnet")
# these need to be dropped due to collinearity myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='fnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# interaction1='pleklijst', diffX, name='rtnet' )
# afstand
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, X, interaction1='afstand', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, X, interaction1 = "afstand", name = "rtnet")
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "fnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus', name='fnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='fnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='fnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'pvv', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sgp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'sp', name='fnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'vvd', name='fnet'
# ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'plus', name='fnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2,
# egoX, interaction1 = 'd66', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 =
# 'vvd', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'plus',
# name='atmnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "d66", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'fvd', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, altX, interaction1 = "gl", name = "atmnet")
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='atmnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='atmnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='atmnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='atmnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='atmnet' )
myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'denk', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "d66", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'fvd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'gl', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'pvda', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, egoX,
# interaction1 = 'pvdd', name='rtnet' )
myeff_m2 <- includeEffects(myeff_m2, egoX, interaction1 = "pvv", name = "rtnet")
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, egoX, interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects(
# myeff_m2, egoX, interaction1 = 'plus', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'cda', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'cu', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'denk', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'd66', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'fvd', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'gl',
# name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvda', name='rtnet' )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = 'pvdd', name='rtnet' ) myeff_m2 <-
# includeEffects( myeff_m2, altX, interaction1 = 'pvv', name='rtnet' ) myeff_m2 <- includeEffects(
# myeff_m2, altX, interaction1 = 'sgp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX,
# interaction1 = 'sp', name='rtnet' ) myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'vvd', name='rtnet' ) #referentie myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 =
# 'plus', name='rtnet' )
myeff_RR <- myeff_m2
myeff_RR <- includeEffects(myeff_RR, interaction1 = "partypos", absDiffX, name = "fnet")
myeff_RR <- includeEffects(myeff_RR, interaction1 = "partypos", absDiffX, name = "rtnet")
# Interaction same party with last on list.
myeff_RR2_I1 <- myeff_RR
myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1 = c("lastlist"), name = "fnet")
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1 = c("lastlist", "partij"),
name = "fnet")
myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1 = c("lastlist"), name = "rtnet")
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1 = c("lastlist", "partij"),
name = "rtnet")
myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1 = c("lastlist"), name = "atmnet")
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1 = c("lastlist", "partij"),
name = "atmnet")myeff_RR2_I1#> name effectName include fix test initialValue parm effect1
#> 1 fnet constant fnet rate (period 1) TRUE FALSE FALSE 7.22021 0 0
#> 2 fnet constant fnet rate (period 2) TRUE FALSE FALSE 3.79571 0 0
#> 3 fnet fnet: outdegree (density) TRUE FALSE FALSE 0.00000 0 0
#> 4 fnet fnet: reciprocity TRUE FALSE FALSE 0.00000 0 0
#> 5 fnet fnet: transitive triplets TRUE FALSE FALSE 0.00000 0 0
#> 6 fnet fnet: shared popularity TRUE FALSE FALSE 0.00000 1 0
#> 7 fnet fnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 8 fnet fnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 9 fnet fnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1 0
#> 10 fnet fnet: afstand TRUE FALSE FALSE 0.00000 0 0
#> 11 fnet fnet: same partij TRUE FALSE FALSE 0.00000 0 0
#> 12 fnet fnet: kamerlid2016 alter TRUE FALSE FALSE 0.00000 0 0
#> 13 fnet fnet: same kamerlid2016 TRUE FALSE FALSE 0.00000 0 0
#> 14 fnet fnet: pleklijst ego TRUE FALSE FALSE 0.00000 0 0
#> 15 fnet fnet: partypos abs. difference TRUE FALSE FALSE 0.00000 0 0
#> 16 fnet fnet: lastlist ego TRUE FALSE FALSE 0.00000 0 0
#> 17 fnet fnet: lastlist ego x same partij TRUE FALSE FALSE 0.00000 0 4269
#> 18 atmnet constant atmnet rate (period 1) TRUE FALSE FALSE 16.26089 0 0
#> 19 atmnet constant atmnet rate (period 2) TRUE FALSE FALSE 9.17902 0 0
#> 20 atmnet atmnet: outdegree (density) TRUE FALSE FALSE -1.76137 0 0
#> 21 atmnet atmnet: reciprocity TRUE FALSE FALSE 0.00000 0 0
#> 22 atmnet atmnet: transitive triplets TRUE FALSE FALSE 0.00000 0 0
#> 23 atmnet atmnet: shared popularity TRUE FALSE FALSE 0.00000 1 0
#> 24 atmnet atmnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 25 atmnet atmnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 26 atmnet atmnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1 0
#> 27 atmnet atmnet: same partij TRUE FALSE FALSE 0.00000 0 0
#> 28 atmnet atmnet: d66 alter TRUE FALSE FALSE 0.00000 0 0
#> 29 atmnet atmnet: gl alter TRUE FALSE FALSE 0.00000 0 0
#> 30 atmnet atmnet: gl ego TRUE FALSE FALSE 0.00000 0 0
#> 31 atmnet atmnet: pleklijst alter TRUE FALSE FALSE 0.00000 0 0
#> 32 atmnet atmnet: pleklijst1 alter TRUE FALSE FALSE 0.00000 0 0
#> 33 atmnet atmnet: pleklijst1 ego TRUE FALSE FALSE 0.00000 0 0
#> 34 atmnet atmnet: lastlist ego TRUE FALSE FALSE 0.00000 0 0
#> 35 atmnet atmnet: lastlist ego x same partij TRUE FALSE FALSE 0.00000 0 13850
#> 36 rtnet constant rtnet rate (period 1) TRUE FALSE FALSE 10.98716 0 0
#> 37 rtnet constant rtnet rate (period 2) TRUE FALSE FALSE 9.39819 0 0
#> 38 rtnet rtnet: outdegree (density) TRUE FALSE FALSE -1.61392 0 0
#> 39 rtnet rtnet: reciprocity TRUE FALSE FALSE 0.00000 0 0
#> 40 rtnet rtnet: transitive triplets TRUE FALSE FALSE 0.00000 0 0
#> 41 rtnet rtnet: shared popularity TRUE FALSE FALSE 0.00000 1 0
#> 42 rtnet rtnet: indegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 43 rtnet rtnet: outdegree - popularity (sqrt) TRUE FALSE FALSE 0.00000 0 0
#> 44 rtnet rtnet: outdegree - activity (sqrt) TRUE FALSE FALSE 0.00000 1 0
#> 45 rtnet rtnet: afstand TRUE FALSE FALSE 0.00000 0 0
#> 46 rtnet rtnet: same partij TRUE FALSE FALSE 0.00000 0 0
#> 47 rtnet rtnet: d66 ego TRUE FALSE FALSE 0.00000 0 0
#> 48 rtnet rtnet: pvv ego TRUE FALSE FALSE 0.00000 0 0
#> 49 rtnet rtnet: kamerlid2016 alter TRUE FALSE FALSE 0.00000 0 0
#> 50 rtnet rtnet: kamerlid2016 ego TRUE FALSE FALSE 0.00000 0 0
#> 51 rtnet rtnet: pleklijst alter TRUE FALSE FALSE 0.00000 0 0
#> 52 rtnet rtnet: pleklijst1 alter TRUE FALSE FALSE 0.00000 0 0
#> 53 rtnet rtnet: partypos abs. difference TRUE FALSE FALSE 0.00000 0 0
#> 54 rtnet rtnet: lastlist ego TRUE FALSE FALSE 0.00000 0 0
#> 55 rtnet rtnet: lastlist ego x same partij TRUE FALSE FALSE 0.00000 0 23431
#> effect2
#> 1 0
#> 2 0
#> 3 0
#> 4 0
#> 5 0
#> 6 0
#> 7 0
#> 8 0
#> 9 0
#> 10 0
#> 11 0
#> 12 0
#> 13 0
#> 14 0
#> 15 0
#> 16 0
#> 17 662
#> 18 0
#> 19 0
#> 20 0
#> 21 0
#> 22 0
#> 23 0
#> 24 0
#> 25 0
#> 26 0
#> 27 0
#> 28 0
#> 29 0
#> 30 0
#> 31 0
#> 32 0
#> 33 0
#> 34 0
#> 35 10243
#> 36 0
#> 37 0
#> 38 0
#> 39 0
#> 40 0
#> 41 0
#> 42 0
#> 43 0
#> 44 0
#> 45 0
#> 46 0
#> 47 0
#> 48 0
#> 49 0
#> 50 0
#> 51 0
#> 52 0
#> 53 0
#> 54 0
#> 55 19824estimate model
myalgorithmRR2 <- sienaAlgorithmCreate(projname = "RR2")
ansRR2_I1 <- siena07(myalgorithmRR2, data = mydata_RR2, effects = myeff_RR2_I1, useCluster = TRUE, nbrNodes = 12,
initC = TRUE, batch = TRUE)
save(ansRR2_I1, file = paste("ansRR2_I1", ".RData", sep = ""))Model RR2 - final
The parameters of interest are in red.
Please note, SE are large and that the overall convergence ratio is unsatisfactory. But these results do not provide clear corroborative evidence that the impact of the same-party effect is conditional on whether an MP holds the highest position on the specific election list.
load("ansRR2_I1.RData")
res <- round(fanscsv(ansRR2_I1)[, 1:2], 5)
mcpos <- length(res[, 1])
res <- res[-mcpos, ]
mc <- as.character(round(fanscsv(ansRR2_I1)[mcpos, 1], 3))
row.names(res) <- c("rate 1", "rate 2", "outdegree", "reciprocity", "transitive triplets", "shared popularity",
"indegree - popularity", " outdegree - popularity", "outdegree - activity", "seating distance (dyad)",
"same party (dyad)", "incumbancy status (alter)", "same incumbancy status (dyad)", "position on election list (ego)",
"ideological distance (dyad)", "last on election list", "last on election list * same party", "rate 1",
"rate 2", "outdegree", "reciprocity", "transitive triplets", "shared popularity", "indegree - popularity",
"outdegree - popularity", "outdegree - activity ", "same party (dyad)", "party Liberal Democrats (alter)",
"party GreenLeft (alter)", "party GreenLeft (ego)", "position on election list (alter)", "party leader (alter)",
"party leader (ego)", "last on election list", "last on election list * same party", "rate 1", "rate 2",
"outdegree", "reciprocity", "transitive triplets", "shared popularity", "indegree - popularity ",
"outdegree - popularity", "outdegree - activity ", "seating distance (dyad)", "same party (dyad)",
"party Liberal Democrats (ego)", "party Freedom Party (ego)", "incumbancy status (alter)", "incumbancy status (ego)",
"position on election list (alter)", "party leader (alter)", "ideological distance (dyad)", "last on election list",
"last on election list * same party")
RR2 <- kbl(res, booktabs = TRUE, digits = 3, caption = "Model RR2: including 'last on election list * same party'",
align = "c") %>%
kable_classic(full_width = F, html_font = "Cambria") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
column_spec(column = 1, width = "3in") %>%
row_spec(c(16, 17, 34, 35, 54, 55), bold = T, color = "white", background = "#D7261E") %>%
group_rows(index = c(Following = 17, Atmention = 18, Retweets = 20)) %>%
footnote(general = paste("Overall maximum convergence ratio: ", mc, sep = ""))
RR2| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| rate 1 | 4.647 | 0.235 |
| rate 2 | 2.037 | 0.131 |
| outdegree | -12.784 | 1.928 |
| reciprocity | 0.840 | 0.122 |
| transitive triplets | 0.037 | 0.007 |
| shared popularity | -0.001 | 0.000 |
| indegree - popularity | 0.352 | 0.062 |
| outdegree - popularity | -0.189 | 0.033 |
| outdegree - activity | 1.282 | 0.266 |
| seating distance (dyad) | -0.013 | 0.008 |
| same party (dyad) | 0.920 | 0.171 |
| incumbancy status (alter) | -0.509 | 0.093 |
| same incumbancy status (dyad) | 0.172 | 0.085 |
| position on election list (ego) | 0.533 | 0.150 |
| ideological distance (dyad) | -0.095 | 0.042 |
| last on election list | -1.644 | 1.706 |
| last on election list * same party | -0.197 | 0.490 |
| Atmention | ||
| rate 1 | 65.434 | 33.698 |
| rate 2 | 13.250 | 0.974 |
| outdegree | -4.256 | 0.165 |
| reciprocity | 1.428 | 0.099 |
| transitive triplets | 0.074 | 0.031 |
| shared popularity | -0.014 | 0.011 |
| indegree - popularity | 0.403 | 0.059 |
| outdegree - popularity | -0.099 | 0.042 |
| outdegree - activity | 0.270 | 0.028 |
| same party (dyad) | 0.927 | 0.056 |
| party Liberal Democrats (alter) | -0.081 | 0.063 |
| party GreenLeft (alter) | -0.155 | 0.087 |
| party GreenLeft (ego) | 0.120 | 0.064 |
| position on election list (alter) | -0.012 | 0.004 |
| party leader (alter) | 0.148 | 0.092 |
| party leader (ego) | -0.301 | 0.104 |
| last on election list | 0.154 | 0.103 |
| last on election list * same party | -0.047 | 0.198 |
| Retweets | ||
| rate 1 | 17.806 | 1.168 |
| rate 2 | 16.978 | 1.217 |
| outdegree | -3.980 | 0.181 |
| reciprocity | 0.596 | 0.085 |
| transitive triplets | 0.176 | 0.025 |
| shared popularity | -0.021 | 0.005 |
| indegree - popularity | 0.413 | 0.045 |
| outdegree - popularity | -0.255 | 0.053 |
| outdegree - activity | 0.177 | 0.026 |
| seating distance (dyad) | -0.032 | 0.007 |
| same party (dyad) | 1.341 | 0.105 |
| party Liberal Democrats (ego) | -0.376 | 0.076 |
| party Freedom Party (ego) | -0.104 | 0.083 |
| incumbancy status (alter) | -0.080 | 0.046 |
| incumbancy status (ego) | -0.090 | 0.048 |
| position on election list (alter) | -0.012 | 0.004 |
| party leader (alter) | 0.119 | 0.082 |
| ideological distance (dyad) | -0.032 | 0.039 |
| last on election list | 0.267 | 0.134 |
| last on election list * same party | 0.029 | 0.177 |
| Note: | ||
| Overall maximum convergence ratio: 2.853 | ||
Hypothesis 3
Based on Model 1
Test for significance of the difference in party-based segregation in the three Twitter layers based on Model 1.
Hypothesis 3a: Segregation in atmention is larger than in follow. No because…
load("ansM8c.RData")
ans <- ansM8c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 24] <- -1
mat[1, 11] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 1.16, d.f. = 1; one-sided Z = 1.08; two-sided p = 0.281.
#> [1] "difference is 0.165 with s.e. 0.154 , t-ratio 1.078"Hypothesis 3b: Segregation in follow is larger than in retweet. No because…
ans <- ansM8c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 11] <- -1
mat[1, 41] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 3.31, d.f. = 1; one-sided Z = 1.82; two-sided p = 0.069.
#> [1] "difference is 0.302 with s.e. 0.166 , t-ratio 1.818"Segregation in atmention is larger than in retweet. Yes, because…
ans <- ansM8c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 24] <- -1
mat[1, 41] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 23.89, d.f. = 1; one-sided Z = 4.89; two-sided p < 0.001.
#> [1] "difference is 0.468 with s.e. 0.096 , t-ratio 4.887"Based on Model 2
Hypothesis 3a: Segregation in atmention is larger than in follow. No because…
load("ansM10c.RData")
ans <- ansM10c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 30] <- -1
mat[1, 11] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 0.99, d.f. = 1; one-sided Z = 1.00; two-sided p = 0.319.
#> [1] "difference is 0.165 with s.e. 0.166 , t-ratio 0.997"Hypothesis 3b: Segregation in follow is larger than in retweet. No because…
ans <- ansM10c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 11] <- -1
mat[1, 50] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 3.14, d.f. = 1; one-sided Z = 1.77; two-sided p = 0.076.
#> [1] "difference is 0.3 with s.e. 0.17 , t-ratio 1.772"Segregation in atmention is larger than in retweet. Yes, because…
ans <- ansM10c
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 30] <- -1
mat[1, 50] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 19.95, d.f. = 1; one-sided Z = 4.47; two-sided p < 0.001.
#> [1] "difference is 0.466 with s.e. 0.104 , t-ratio 4.466"Based on Model 3
Hypothesis 3a: Segregation in atmention is larger than in follow. No/YES because…
load("ansM12.RData")
ans <- ansM12
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 32] <- -1
mat[1, 11] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 2.80, d.f. = 1; one-sided Z = 1.67; two-sided p = 0.094.
#> [1] "difference is 0.348 with s.e. 0.208 , t-ratio 1.675"Hypothesis 3b: Segregation in follow is larger than in retweet. No because…
ans <- ansM12
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 11] <- -1
mat[1, 52] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 2.64, d.f. = 1; one-sided Z = 1.62; two-sided p = 0.104.
#> [1] "difference is 0.351 with s.e. 0.216 , t-ratio 1.623"Segregation in atmention is larger than in retweet. Yes, because…
ans <- ansM12
p <- ans$pp
## segregation in atmention is larger than in follow
mat <- matrix(0, 1, p)
mat[1, 30] <- -1
mat[1, 50] <- 1
Wald.RSiena(mat, ans)
dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))
print(paste("difference is", round(dif, 3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))#> chi-squared = 33.36, d.f. = 1; one-sided Z = 5.78; two-sided p < 0.001.
#> [1] "difference is 0.219 with s.e. 0.038 , t-ratio 5.776"Time heterogeneity in same party effect
Empty model
myeff <- getEffects(mydata)
myeff_m0 <- myeff
myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name = "fnet")
myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name = "rtnet")
myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name = "atmnet")
# remove reciprocity
myeff_m0 <- includeEffects(myeff_m0, recip, name = "fnet", include = FALSE)
myeff_m0 <- includeEffects(myeff_m0, recip, name = "rtnet", include = FALSE)
myeff_m0 <- includeEffects(myeff_m0, recip, name = "atmnet", include = FALSE)
myeff_m0
# include the time interactions
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name = "fnet", timeDummy = "2")
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name = "atmnet", timeDummy = "2")
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name = "rtnet", timeDummy = "2")
myeff_m0
# estimates
myalgorithm <- sienaAlgorithmCreate(projname = "M0")
ansM0 <- siena07(myalgorithm, data = mydata, effects = myeff_m0, useCluster = TRUE, nbrNodes = 4, initC = TRUE,
batch = TRUE)
ansM0
save(ansM0, file = paste("ansM0", ".RData", sep = ""))#> Estimates, standard errors and convergence t-ratios
#>
#> Estimate Standard Convergence
#> Error t-ratio
#> 1. rate constant fnet rate (period 1) 3.7021 ( 0.1556 ) -0.0746
#> 2. rate constant fnet rate (period 2) 1.9633 ( 0.1134 ) 0.0065
#> 3. eval fnet: outdegree (density) -0.5750 ( 0.0811 ) -0.0140
#> 4. eval fnet: same partij 1.4204 ( 0.1244 ) 0.0277
#> 5. eval Dummy2:fnet ego 0.0000 ( NA ) 0.1094
#> 6. eval int. Dummy2:fnet ego x same partij 0.4735 ( 0.2401 ) -0.0357
#> 7. rate constant atmnet rate (period 1) 22.8623 ( 1.3444 ) -0.0011
#> 8. rate constant atmnet rate (period 2) 9.3531 ( 0.4912 ) -0.0429
#> 9. eval atmnet: outdegree (density) -2.4375 ( 0.0342 ) -0.0181
#> 10. eval atmnet: same partij 0.8555 ( 0.0530 ) -0.0228
#> 11. eval Dummy2:atmnet ego 0.0000 ( NA ) 11.4569
#> 12. eval int. Dummy2:atmnet ego x same partij -1.0104 ( 0.0913 ) 0.0150
#> 13. rate constant rtnet rate (period 1) 12.2384 ( 0.6003 ) -0.0244
#> 14. rate constant rtnet rate (period 2) 10.8618 ( 0.7101 ) 0.0648
#> 15. eval rtnet: outdegree (density) -2.8112 ( 0.0458 ) -0.0345
#> 16. eval rtnet: same partij 2.1228 ( 0.0558 ) -0.0668
#> 17. eval Dummy2:rtnet ego 0.0000 ( NA ) 0.0827
#> 18. eval int. Dummy2:rtnet ego x same partij 0.1850 ( 0.0660 ) 0.0464
#>
#> Overall maximum convergence ratio: 0.1941
#>
#>
#> Total of 2243 iteration steps.Model 1
load("ansM8c.RData")
tt <- sienaTimeTest(ansM8c, effects = c(11, 24, 41))
# tt tt$EffectTest tt$IndividualTest
plot(tt)
myeff_t <- myeff_m2
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "fnet", timeDummy = "2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "atmnet", timeDummy = "2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name = "rtnet", timeDummy = "2")
myeff_t
myalgorithm <- sienaAlgorithmCreate(projname = "M8c_t", nsub = 5, n3 = 5000)
ansM8c_t <- siena07(myalgorithm, data = mydata, prevAns = ansM8c, effects = myeff_t, useCluster = TRUE,
nbrNodes = 10, initC = TRUE, batch = TRUE)
ansM8c_t
save(ansM8c_t, file = paste("ansM8c_t", ".RData", sep = ""))load("ansM8c_t.RData")
# xtable.sienaFit(ansM8c_t, file='ansM8c_t.html', type='html', digits=3)
res <- round(fanscsv(ansM8c_t)[c(11, 16, 26, 34, 45, 53), 1:2], 5)
mc <- as.character(round(fanscsv(ansM8c_t)[54, 1], 3))
row.names(res) <- c("same party (dyad)", "time*same party", "same party (dyad)", "time*same party", "same party (dyad)",
"time*same party")
M4 <- kbl(res, booktabs = TRUE, digits = 3, caption = "Model 4", align = "c") %>%
kable_classic(full_width = F, html_font = "Cambria") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
column_spec(column = 1, width = "3in") %>%
# row_spec(c(11, 24,41), bold = T, color = 'white', background = '#D7261E') %>%
group_rows(index = c(Following = 2, Atmention = 2, Retweets = 2)) %>%
footnote(general = paste("Overall maximum convergence ratio: ", mc, sep = ""))
M4| Estimate | Standard Error | |
|---|---|---|
| Following | ||
| same party (dyad) | 1.215 | 0.157 |
| time*same party | 0.957 | 0.278 |
| Atmention | ||
| same party (dyad) | 0.804 | 0.060 |
| time*same party | -0.448 | 0.099 |
| Retweets | ||
| same party (dyad) | 1.386 | 0.079 |
| time*same party | 0.265 | 0.056 |
| Note: | ||
| Overall maximum convergence ratio: 0.149 | ||
Model 2
Model 3
References
Jolly, Seth, Ryan Bakker, Liesbet Hooghe, Gary Marks, Jonathan Polk, Jan
Rovny, Marco Steenbergen, and Milada Anna Vachudova. 2022. “Chapel
Hill Expert Survey Trend File, 1999–2019.” Electoral
Studies 75: 102420.
Tolsma, Jochem, and Niels Spierings. (submitted). “Twitter and
Divides in the Dutch Parliament: Social and Political Segregation in the
Following, @-Mentions and Retweets Networks.” - - (-):
–. -.
---
title: "Replication package-RSiena"
author: '[Jochem Tolsma](https://www.jochemtolsma.nl) - Radboud University / University of Groningen, the Netherlands'
bibliography: references.bib
date: "Last compiled on `r format(Sys.time(), '%B, %Y')`"
output: 
  html_document:
    toc:  true
    toc_float: true
    number_sections: false
    code_folding: hide
    code_download: yes
---


```{r globalsettings, echo=FALSE, warning=FALSE, message=FALSE, results='hide'}
library(knitr)
opts_chunk$set(tidy.opts=list(width.cutoff=100),tidy=TRUE, warning = FALSE, message = FALSE,comment = "#>", cache=TRUE, echo=FALSE, eval=FALSE, class.source=c("test"), class.output=c("test2"))
options(width = 100)
rgl::setupKnitr()
```

```{r colorize, echo=FALSE, eval=TRUE}
colorize <- function(x, color) {
  if (knitr::is_latex_output()) {
    sprintf("\\textcolor{%s}{%s}", color, x)
  } else if (knitr::is_html_output()) {
    sprintf("<span style='color: %s;'>%s</span>", color, 
            x)
  } else x
}

```

```{r klippy, echo=FALSE, include=TRUE, eval=TRUE}
klippy::klippy(position = c('top', 'right'))
#klippy::klippy(color = 'darkred')
#klippy::klippy(tooltip_message = 'Click to copy', tooltip_success = 'Done')
```

```{css, echo=FALSE}
pre.test {
  max-height: 300px;
  overflow-y: auto;
  overflow-x: auto;
  margin: 0px;
}

pre.test2 {
  max-height: 300px;
  overflow-y: auto;
  overflow-x: auto;
  margin: 0px;
  background-color: white;
  color: rgb(201, 76, 76);
}


h1, .h1, h2, .h2, h3, .h3 {
  margin-top: 24px;
}


```


---  

# Intro  


This [website](https://jochemtolsma.github.io/Twitter/) is a replication package for the paper "**Twitter and divides in the Dutch Parliament: Social and Political Segregation in the following, @-mentions and retweets networks**" by @Tolsma2021.

It contains R code to replicate all Tables/Figures/Appendix in the manuscript.

To copy the code click the button in the upper right corner of the code-chunks.

Use the top menu to navigate to the section of interest. 

The source code of this website can be found on [Github](https://github.com/JochemTolsma/Twitter)

Questions can be addressed to [Jochem Tolsma](mailto:jochem.tolsma@ru.nl).

---  

## Packages  

```{r packages, echo=TRUE, message=FALSE, warning=FALSE, eval=TRUE}
#install if necessary 
if (!require("tidyverse", character.only = TRUE)) {install.packages("tidyverse", dependencies=TRUE)}
if (!require("dplyr", character.only = TRUE)) {install.packages("dplyr", dependencies=TRUE)}
if (!require("foreign", character.only = TRUE)) {install.packages("foreign", dependencies=TRUE)}
if (!require("igraph", character.only = TRUE)) {install.packages("igraph", dependencies=TRUE)}
if (!require("knitr", character.only = TRUE)) {install.packages("knitr", dependencies=TRUE)}
if (!require("kableExtra", character.only = TRUE)) {install.packages("kableExtra", dependencies=TRUE)}
if (!require("RSiena", character.only = TRUE)) {install.packages("RSiena", dependencies=TRUE)}
if (!require("haven", character.only = TRUE)) {install.packages("haven", dependencies=TRUE)}

#load packages.
library(tidyverse)
library(dplyr)
library(foreign)
library(igraph)
library(knitr)
library(kableExtra)
library(RSiena)
library(haven)

```


---   



## Custom functions: tweaking output


```{r, echo=TRUE, eval=TRUE}
fanscsv <- function(ans = ans) {
  ans1_mat <- matrix(NA, nrow = length(ans$effects[, 2]), ncol = 3)
  row.names(ans1_mat) <- ans$effects[, 2]
  ans1_mat[, 1] <- (ans$theta)
  ans1_mat[, 2] <- (ans$se)
  ans1_mat[, 3] <- (ans$tconv)
  ans1_mat <- rbind(ans1_mat, c(ans$tconv.max))
  row.names(ans1_mat)[length(row.names(ans1_mat))] <- "Overall maximum convergence ratio:"
  colnames(ans1_mat) <- c("Estimate", "Standard Error", "Convergence t-ratio")
  return(ans1_mat)
  # print(ans1_mat)
  # write.csv(ans1_mat, filename)
}

```

---  

## Load data objects {.tabset .tabset-fade}  


Data objects:  

- [key](./data-processed/key moederbestand 20171114.sav): information on all politicians on election list  
- [twitter](./data-processed/twitter_20190919.RData)  
    - keyf: information on all 147 MPs with twitter handle  
    - mydata: RSiena object with all kind of goodies inside  
    - seats: seating coordinates of HoP (used for plotting)  
    

```{r data, echo=TRUE, eval=TRUE, warning=FALSE, message=FALSE}
#STAP 1: read in data
key <- read.spss('data-processed\\key moederbestand 20171114.sav', use.value.labels=T, to.data.frame=T)


load("data-processed\\twitter_20190919.RData")
#str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]


#construct two separate datasets for each period. NOT USED IN MANUSCRIPT
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars

fnet <- sienaNet(deps$fnet[,,1:2]) 
atmnet <- sienaNet(deps$atmnet[,,1:2])
rtnet <- sienaNet(deps$rtnet[,,1:2])
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1

mydata12 <- sienaDataCreate(fnet,
                          atmnet, 
                          rtnet, 
                          afstand, 
                          egohandle, 
                          egoid, 
                          partij, 
                          coalitie, 
                          cda,
                          cu,
                          denk,
                          d66,
                          fvd,
                          gl,
                          pvda,
                          pvdd,
                          pvv,
                          sgp,
                          sp,
                          vvd,
                          plus, 
                          ethminz,
                          vrouw,
                          lft,
                          kamerlid2016,
                          kabinet2016,
                          pleklijst,
                          pleklijst1)

fnet <- sienaNet(deps$fnet[,,2:3]) 
atmnet <- sienaNet(deps$atmnet[,,2:3])
rtnet <- sienaNet(deps$rtnet[,,2:3])

mydata23 <- sienaDataCreate(fnet,
                          atmnet, 
                          rtnet, 
                          afstand, 
                          egohandle, 
                          egoid, 
                          partij, 
                          coalitie, 
                          cda,
                          cu,
                          denk,
                          d66,
                          fvd,
                          gl,
                          pvda,
                          pvdd,
                          pvv,
                          sgp,
                          sp,
                          vvd,
                          plus, 
                          ethminz,
                          vrouw,
                          lft,
                          kamerlid2016,
                          kabinet2016,
                          pleklijst,
                          pleklijst1)


```

---  

# Estimate RSiena models  {.tabset .tabset-fade} 

## Model 0 {.tabset .tabset-fade} 

### Basic structural effects only.  


Included effects:  

- three dependent network variables  
- degree (once without and once with time heterogeneity)  
- reciprocity  
- indegree-popularity (sqrt)  
- outdegree-activity (sqrt)  
- outdegree-popularity (sqrt)  
- transitive triplets or GWESPP  
- shared popularity

```{r structural model, echo=TRUE}
#print01Report( mydata, modelname="Twitter")
#let us have a look at all possible effects
#effectsDocumentation()

# Define the model
# 
# We will compare a model with *transTrip* versus *gwespFF* first. 


myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

#myeff_m1 <- includeEffects( myeff_m1, cycle3, name="fnet" )
#myeff_m1 <- includeEffects( myeff_m1, cycle3, name="atmnet" )
#myeff_m1 <- includeEffects( myeff_m1, cycle3, name="rtnet" )


#estimates
myalgorithm <- sienaAlgorithmCreate( projname = 'M1')
ansM1 <- siena07( myalgorithm, data = mydata, effects = myeff_m1, useCluster=TRUE, nbrNodes=4, initC=TRUE, batch=TRUE)
ansM1

ansM1b <- siena07( myalgorithm, data = mydata, prevAns=ansM1, effects = myeff_m1, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)

#ansM1b ##good fit. 

#save(ansM1b, file=paste("ansM1b",".RData",sep=""))

```

```{r, eval=TRUE}
load("ansM1b.RData")
ansM1b
```

---  

### Time heterogeneity in outdegree. 



```{r}
### time heterogeneity in outdegree  


#load("ansM1b.RData")
#myeff_m1 <- ansM1b$effects #this does not work with time dummies

myeff_m1
myeff_m1_td <- includeTimeDummy(myeff_m1, density, name="atmnet", timeDummy="2")
myeff_m1_td <- includeTimeDummy(myeff_m1_td, density, name="rtnet", timeDummy="2")


ansM2 <- siena07( myalgorithm, data = mydata, prevAns=ansM1b, effects = myeff_m1_td, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
#ansM2 
#save(ansM2, file=paste("ansM2",".RData",sep=""))

ansM2b <- siena07( myalgorithm, data = mydata, prevAns=ansM2, effects = myeff_m1_td, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
#ansM2b 
#save(ansM2b, file=paste("ansM2b",".RData",sep=""))

```

```{r, eval=TRUE}
load("ansM2b.RData")
ansM2b
```

`r colorize("Interpretation:", "red")`

Please be aware that we are looking at period interactions: 

- atmention degrees decreased faster in period 2 than in period 1, hence negative interaction  
- retweet degrees decreased faster in period 1 than in period 2, hence positive interaction  


---  

### gwespFF versus transTrip 


```{r, eval=FALSE, echo=TRUE}
myeff <- getEffects( mydata )
myeff_m1b <- myeff

#according to suggestion of rsiena manual
myeff_m1b <- includeEffects( myeff_m1b, inPopSqrt, name="fnet" )
myeff_m1b <- includeEffects( myeff_m1b, inPopSqrt, name="atmnet" )
myeff_m1b <- includeEffects( myeff_m1b, inPopSqrt, name="rtnet" )

myeff_m1b <- includeEffects( myeff_m1b, outActSqrt, name="fnet" )
myeff_m1b <- includeEffects( myeff_m1b, outActSqrt, name="atmnet" )
myeff_m1b <- includeEffects( myeff_m1b, outActSqrt, name="rtnet" )

myeff_m1b <- includeEffects( myeff_m1b, outPopSqrt, name="fnet" )
myeff_m1b <- includeEffects( myeff_m1b, outPopSqrt, name="atmnet" )
myeff_m1b <- includeEffects( myeff_m1b, outPopSqrt, name="rtnet" )

myeff_m1b <- includeEffects( myeff_m1b, gwespFF, name="fnet" )
myeff_m1b <- includeEffects( myeff_m1b, gwespFF, name="atmnet" )
myeff_m1b <- includeEffects( myeff_m1b, gwespFF, name="rtnet" )

myeff_m3 <- myeff_m1b

myalgorithm <- sienaAlgorithmCreate( projname = 'M1')
ansM3 <- siena07( myalgorithm, data = mydata, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
#ansM3
#save(ansM3, file=paste("ansM3",".RData",sep=""))

ansM3b <- siena07( myalgorithm, data = mydata, prevAns=ansM3, effects = myeff_m1, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
#ansM3b  
#save(ansM3b, file=paste("ansM3b",".RData",sep=""))

```

```{r, eval=TRUE}
load("ansM3.RData")
#ansM3

res <- round(fanscsv(ansM3)[-25,1:2],5)
mc <- as.character(round(fanscsv(ansM3)[25,1],3))
row.names(res) <- c(
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "GWESP"  ,          
 "indegree - popularity (sqrt)"   ,
  "outdegree - popularity (sqrt)" , 
 "outdegree - activity (sqrt)"    ,
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "GWESP"  ,          
 "indegree - popularity (sqrt)"   ,
  "outdegree - popularity (sqrt)" , 
 "outdegree - activity (sqrt)"    ,
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "GWESP"  ,          
 "indegree - popularity (sqrt)"   ,
  "outdegree - popularity (sqrt)" , 
 "outdegree - activity (sqrt)"    
)
  
RR2_gwesp <- kbl(res, booktabs=TRUE, digits=3, caption="GWESP", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  group_rows(index = c("Following" = 8, "Atmention" = 8, "Retweets" = 8)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


RR2_gwesp

```


Don't think it will matter much whether we include gwespFF or TranTrip. 

---  


### Model 0 - final {.active}

Finally, we also included sharedPop to reach Model 0


```{r, echo=TRUE}
myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )


load("ansM1b.RData")

ansM4 <- siena07( myalgorithm, data = mydata, prevAns=ansM1b, effects = myeff_m1, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM4 
save(ansM4, file=paste("ansM4",".RData",sep=""))

ansM4b <- siena07( myalgorithm, data = mydata, prevAns=ansM4, effects = myeff_m1, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM4b
save(ansM4b, file=paste("ansM4b",".RData",sep=""))

```

```{r, eval=TRUE}
load("ansM4b.RData")
ansM4b
```

----  

## Model 1 {.tabset .tabset-fade}

Baseline model with controls to test Hypothesis 1.  

### Relevant party dummies  

We cannot include all party dummies as covariates for ego and alter. We will thus first check which party deviates significantly with respect to indegree and outdegree. 

First the descriptives. 

```{r, echo=TRUE, eval=TRUE}
#check if we observe outdegree differences per partij
fnet <- mydata$depvars$fnet
atmnet <- mydata$depvars$atmnet
rtnet <- mydata$depvars$rtnet
testfnet <- fnet[,,1]
testfnet[testfnet==10] <- NA
testrtnet <- rtnet[,,1]
testrtnet[testrtnet==10] <- NA
testatmnet <- atmnet[,,1]
testatmnet[testatmnet==10] <- NA

keyf$outdegreesf <- rowSums(testfnet, na.rm=TRUE)
keyf$indegreesf <- colSums(testfnet, na.rm=TRUE)

keyf$outdegreesrt <- rowSums(testrtnet, na.rm=TRUE)
keyf$indegreesrt <- colSums(testrtnet, na.rm=TRUE)

keyf$outdegreesatm <- rowSums(testatmnet, na.rm=TRUE)
keyf$indegreesatm <- colSums(testatmnet, na.rm=TRUE)


degreesum <- keyf %>% 
  group_by(Partij) %>%
  summarize(mean_of= mean(outdegreesf, na.rm=T),
            mean_if= mean(indegreesf, na.rm=T),
            mean_irt= mean(outdegreesrt, na.rm=T),
            mean_ort= mean(indegreesrt, na.rm=T),
            mean_iat= mean(outdegreesatm, na.rm=T),
            mean_oat= mean(indegreesatm, na.rm=T),
            count= n()) %>%
  arrange(desc(count)) %>%
  select(!("count"))


colnames(degreesum) <- c("Party", "outdegree friends", "indegree friends", "outdegree retweets", "indegree retweets", "outdegree atmentions", "indegree atmentions")


#write_csv(degreesum, "degreesum.csv")
```

```{r, eval=TRUE}

degreesum <- read.csv("degreesum.csv")
degreesum <- kbl(degreesum, booktabs=TRUE, digits=2, caption="mean degree by party", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) 

scroll_box(degreesum, width="100%", height="500px")

```

Let us use a simple OLS regression with deviation coding (grand mean is ref) to test for significance.

```{r, echo=TRUE, eval=TRUE, results="hold"}

keyf$Partij2 <- as.factor(as.character(keyf$Partij))
levels(keyf$Partij2)
contrasts(keyf$Partij2) <- contr.sum(13) #let us use VVD as omitted party

summary(lm(outdegreesf~Partij2, keyf))
print("which parties deviate significantly outdegreesf")
levels(keyf$Partij2)[c(1, 6, 9, 10, 11)]

summary(lm(indegreesf~Partij2, keyf))
print("which parties deviate significantly indegreesf")
levels(keyf$Partij2)[c(10, 11)]

summary(lm(outdegreesatm~Partij2, keyf))
print("which parties deviate significantly outdegreesatm")
levels(keyf$Partij2)[c(4, 7, 10, 12)]

summary(lm(indegreesatm~Partij2, keyf))
print("which parties deviate significantly indegreesatm")
levels(keyf$Partij2)[c(4, 7, 10)]

summary(lm(outdegreesrt~Partij2, keyf))
print("which parties deviate significantly outdegreesrt")
levels(keyf$Partij2)[c(1, 4, 7, 10)]

summary(lm(indegreesrt~Partij2, keyf))
print("which parties deviate significantly indegreesrt")
levels(keyf$Partij2)[c(4, 10)]

```

---  

### Model 1 - final {.active}


```{r, echo=TRUE}
myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



#myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )


load("ansM4b.RData")
myalgorithm <- sienaAlgorithmCreate( projname = 'M2')
ansM5 <- siena07( myalgorithm, data = mydata, prevAns=ansM4b, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM5 
save(ansM5, file=paste("ansM5",".RData",sep=""))

ansM5b <- siena07( myalgorithm, data = mydata, prevAns=ansM5, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM5b 
save(ansM5b, file=paste("ansM5b",".RData",sep=""))

# Lets trim


myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )



load("ansM4b.RData") #start again from ansM4b
myalgorithm <- sienaAlgorithmCreate( projname = 'M3')
ansM6 <- siena07( myalgorithm, data = mydata, prevAns=ansM4b, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM6 
save(ansM6, file=paste("ansM6",".RData",sep=""))

ansM6b <- siena07( myalgorithm, data = mydata, prevAns=ansM6, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM6b 
save(ansM6b, file=paste("ansM6b",".RData",sep=""))

myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )



load("ansM4b.RData") #start again from ansM4b
myalgorithm <- sienaAlgorithmCreate( projname = 'M4')
ansM7 <- siena07( myalgorithm, data = mydata, prevAns=ansM4b, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM7 # Overall maximum convergence ratio:    0.2501 
save(ansM7, file=paste("ansM7",".RData",sep=""))

ansM7b <- siena07( myalgorithm, data = mydata, prevAns=ansM7, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM7b # Overall maximum convergence ratio:    0.2422 
save(ansM7b, file=paste("ansM7b",".RData",sep=""))

load("ansM7b.RData")

ansM7c <- siena07( myalgorithm, data = mydata, prevAns=ansM7, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM7c 
save(ansM7c, file=paste("ansM7c",".RData",sep=""))

#third trim

myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )


# Estimates

load("ansM8c.RData") #start again from ansM4b
ansM4b
myalgorithm <- sienaAlgorithmCreate( projname = 'M5')
ansM8 <- siena07( myalgorithm, data = mydata, prevAns=ansM4b, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM8 
save(ansM8, file=paste("ansM8",".RData",sep=""))

ansM8b <- siena07( myalgorithm, data = mydata, prevAns=ansM8, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM8b 
save(ansM8b, file=paste("ansM8b",".RData",sep=""))

ansM8c <- siena07( myalgorithm, data = mydata, prevAns=ansM8b, effects = myeff_m2, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM8c #Overall maximum convergence ratio:    0.2471 

save(ansM8c, file=paste("ansM8c",".RData",sep=""))
```

```{r, eval=TRUE}
load("ansM8c.RData")
#ansM8c

#xtable.sienaFit(ansM8c, file="ansM8c.html", type="html", digits=3)

res <- round(fanscsv(ansM8c)[-48,1:2],5)
mc <- as.character(round(fanscsv(ansM8c)[48,1],3))
row.names(res) <- c(
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "transitive triplets"  ,          
 "shared popularity"     ,         
 "indegree - popularity"   ,
  " outdegree - popularity" , 
 "outdegree - activity"    ,
 "seating distance (dyad)"         ,               
 "same party (dyad)"                ,    
"incumbancy status (alter)"          ,   
"same incumbancy status (dyad)"       ,       
"position on election list (ego)"      ,            
 "rate 1"      ,
 "rate 2"      ,
"outdegree"          ,
 "reciprocity"        ,          
 "transitive triplets" ,         
 "shared popularity"    ,        
 "indegree - popularity" ,
 "outdegree - popularity",
"outdegree - activity "  ,
 "same party (dyad)"            ,      
"party Liberal Democrats (alter)",                    
"party GreenLeft (alter)"         ,            
 "party GreenLeft (ego)"           ,            
 "position on election list (alter)",              
"party leader (alter)"             ,
 "party leader (ego)"               ,
 "rate 1"       ,
 "rate 2"       ,
"outdegree"           ,
"reciprocity"          ,         
"transitive triplets"   ,        
"shared popularity"      ,       
"indegree - popularity ",  
"outdegree - popularity", 
"outdegree - activity "   ,
"seating distance (dyad)"        ,               
 "same party (dyad)"              ,     
 "party Liberal Democrats (ego)"   ,                    
 "party Freedom Party (ego)"        ,               
 "incumbancy status (alter)"         ,   
 "incumbancy status (ego)"            ,  
 "position on election list (alter)"   ,            
"party leader (alter)"
)
  
asmatkable <- kbl(res, booktabs=TRUE, digits=3, caption="Model 1", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  row_spec(c(11, 24,41), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 14, "Atmention" = 15, "Retweets" = 18)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


asmatkable




```

---  


## Model 2  {.active}

To what extent do we observe social inbreeding homophily and to what extent does this explain the impact of the same-party variable (Hypotheses 2a and 2b) 

```{r, echo=TRUE}
myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_m3 <- myeff_m2

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="atmnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="atmnet" )



# Estimates

load("ansM8c.RData") 

myalgorithm <- sienaAlgorithmCreate( projname = 'M9')
ansM9 <- siena07( myalgorithm, data = mydata, prevAns=ansM8c, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM9 
save(ansM9, file=paste("ansM9",".RData",sep=""))

ansM9b <- siena07( myalgorithm, data = mydata, prevAns=ansM9, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM9b 
save(ansM9b, file=paste("ansM9b",".RData",sep=""))

ansM9c <- siena07( myalgorithm, data = mydata, prevAns=ansM9b, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM9c 

save(ansM9c, file=paste("ansM9c",".RData",sep=""))

# Trim social inbreeding homophily 

# Only ego alter. we leave dyad in. 
# Note, we now also exclude rtnet:kamerlid2016 alter
# 
# Effects 

myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_m3 <- myeff_m2

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="atmnet" )


# Estimates

load("ansM8c.RData") 

myalgorithm <- sienaAlgorithmCreate( projname = 'M10')
ansM10 <- siena07( myalgorithm, data = mydata, prevAns=ansM8c, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM10 
save(ansM10, file=paste("ansM10",".RData",sep=""))

ansM10b <- siena07( myalgorithm, data = mydata, prevAns=ansM10, effects = myeff_m3, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)
ansM10b 
save(ansM10b, file=paste("ansM10b",".RData",sep=""))

#switching to different computer

load("ansM10c.RData") 
ansM10b
ansM10c <- siena07( myalgorithm, data = mydata, prevAns=ansM10b, effects = myeff_m3, useCluster=TRUE, nbrNodes=12, initC=TRUE, batch=TRUE)
ansM10c # Overall maximum convergence ratio:    0.2528 

save(ansM10c, file=paste("ansM10c",".RData",sep=""))

ansM10d <- siena07( myalgorithm, data = mydata, prevAns=ansM10c, effects = myeff_m3, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM10d 

save(ansM10d, file=paste("ansM10d",".RData",sep=""))

```

```{r, echo=FALSE}
myalgorithm <- sienaAlgorithmCreate( projname = 'RR2', n3 = 3000)
ansRR2 <- siena07( myalgorithm, data = mydata, prevAns=ansM10c, effects = myeff_m3, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansRR2
#save(ansRR2, file=paste("ansRR2",".RData",sep=""))
```


```{r, eval=TRUE}
load("ansRR2.RData")
#ansRR2

res <- round(fanscsv(ansRR2)[-63,1:2],5)
mc <- as.character(round(fanscsv(ansRR2)[63,1],3))
row.names(res) <- c(
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "transitive triplets"  ,          
 "shared popularity"     ,         
 "indegree - popularity (sqrt)"   ,
  "outdegree - popularity (sqrt)" , 
 "outdegree - activity (sqrt)"    ,
 "seating distance (dyad)"         ,               
 "same party (dyad)"                ,
 "same ethnic minority status (dyad)" , 
 "woman (alter)", 
 "same sex (dyad)",
 "age (alter)", 
 "age (ego)",
 "absolute difference age (dyad)",
"incumbancy status (alter)"          ,   
"same incumbancy status (dyad)"       ,       
"position on election list (ego)"      ,            
 "rate 1"      ,
 "rate 2"      ,
"outdegree"          ,
 "reciprocity"        ,          
 "transitive triplets" ,         
 "shared popularity"    ,        
 "indegree - popularity (sqrt)" ,
 "outdegree - popularity (sqrt)",
"outdegree - activity (sqrt)"  ,
 "same party (dyad)"            ,      
"party Liberal Democrats (alter)",                    
"party GreenLeft (alter)"         ,            
 "party GreenLeft (ego)"           ,
"same ethnic minority status (dyad)",
"same sex (dyad)",
"absolute difference age (dyad)",
 "position on election list (alter)",              
"party leader (alter)"             ,
 "party leader (ego)"               ,
 "rate 1"       ,
 "rate 2"       ,
"outdegree"           ,
"reciprocity"          ,         
"transitive triplets"   ,        
"shared popularity"      ,       
"indegree - popularity (sqrt)",  
"outdegree - popularity (sqrt)", 
"outdegree - activity (sqrt)"   ,
"seating distance (dyad)"        ,               
 "same party (dyad)"              ,     
 "party Liberal Democrats (ego)"   ,                    
 "party Freedom Party (ego)"        ,
"ethnic minority status (ego)", 
"same ethnic minority status (dyad)", 
"woman (alter)",
"women (ego)", 
"same sex (dyad)", 
"age (alter)",
"absolute difference age (dyad)",
 "incumbancy status (ego)"            ,  
 "position on election list (alter)"   ,            
"party leader (alter)"
)
  
SME <- kbl(res, booktabs=TRUE, digits=3, caption="SM E: Model 2", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  row_spec(c(11, 30,50), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 20, "Atmention" = 19, "Retweets" = 23)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


SME

```
  
  
---  



## Model 3  

Cross-network effects. Hypotheses 4. 

Remove the non-significant social inbreeding parameters (t-value < 1): 


```{r, echo=TRUE}


myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_m3 <- myeff_m2

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="fnet" )

#myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="rtnet" )

#myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="rtnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="atmnet" )

myeff_m4 <- myeff_m3

myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="fnet", name="rtnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="fnet", name="atmnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="rtnet", name="fnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="rtnet", name="atmnet" )
#myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="atmnet", name="fnet" ) #needs to be dropped due to convergence
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="atmnet", name="rtnet" )

#ik doe het een, jij doet het ander terug
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="fnet", name="rtnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="fnet", name="atmnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="rtnet", name="fnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="rtnet", name="atmnet" )
#myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="atmnet", name="fnet" ) #needs to be dropped due to convergence
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="atmnet", name="rtnet" )
myeff_m4


# Estimation

load("ansM10c.RData") 
ansM10c

myalgorithm <- sienaAlgorithmCreate( projname = 'M11')
ansM11 <- siena07( myalgorithm, data = mydata, prevAns=ansM10c, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM11 
save(ansM11, file=paste("ansM11",".RData",sep=""))

ansM11b <- siena07( myalgorithm, data = mydata, prevAns=ansM11, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM11b 
save(ansM11b, file=paste("ansM11b",".RData",sep=""))


ansM11c <- siena07( myalgorithm, data = mydata, prevAns=ansM11b, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM11c # Overall maximum convergence ratio:    0.2839 
save(ansM11c, file=paste("ansM11c",".RData",sep=""))


# lets trim

# effects

myeff <- getEffects( mydata )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_m3 <- myeff_m2

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="rtnet" )

#myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "vrouw", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "vrouw", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="fnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="fnet" )

#myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="rtnet" )

#myeff_m3 <- includeEffects(myeff_m3, absDiffX , interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "lft", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "lft", name="atmnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="fnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="fnet" )

myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="rtnet" )
myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="rtnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="rtnet" )

#myeff_m3 <- includeEffects(myeff_m3, sameX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, egoX, interaction1 = "ethminz", name="atmnet" )
#myeff_m3 <- includeEffects(myeff_m3, altX, interaction1 = "ethminz", name="atmnet" )

myeff_m4 <- myeff_m3

myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="fnet", name="rtnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="fnet", name="atmnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="rtnet", name="fnet" )
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="rtnet", name="atmnet" )
#myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="atmnet", name="fnet" ) #needs to be dropped due to convergence
myeff_m4 <- includeEffects( myeff_m4, crprod, interaction1="atmnet", name="rtnet" )

#ik doe het een, jij doet het ander terug
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="fnet", name="rtnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="fnet", name="atmnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="rtnet", name="fnet" )
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="rtnet", name="atmnet" )
#myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="atmnet", name="fnet" ) #needs to be dropped due to convergence
myeff_m4 <- includeEffects( myeff_m4, crprodRecip, interaction1="atmnet", name="rtnet" )
myeff_m4

# estimates

load("ansM11c.RData") 
ansM11c

myalgorithm <- sienaAlgorithmCreate( projname = 'M12')
ansM12 <- siena07( myalgorithm, data = mydata, prevAns=ansM11c, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM12 # Overall maximum convergence ratio:    0.2562 
save(ansM12, file=paste("ansM12",".RData",sep=""))

ansM12b <- siena07( myalgorithm, data = mydata, prevAns=ansM12, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM12b # Overall maximum convergence ratio:    0.3631 


save(ansM12b, file=paste("ansM12b",".RData",sep=""))


ansM12c <- siena07( myalgorithm, data = mydata, prevAns=ansM12b, effects = myeff_m4, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM12c #Overall maximum convergence ratio:    0.2951 

save(ansM12c, file=paste("ansM12c",".RData",sep=""))




```

```{r, eval=TRUE}
load("ansM12.RData")

ansM12

#xtable.sienaFit(ansM12, file="ansM12.html", type="html", digits=3)

```

---  

## Model 4 {.tabset .tabset-fade}

Here we test Hypothesis 5 on time trends in the impact of the same-party variable. 

### sienaTimeTest 

```{r, echo=TRUE, eval=TRUE}
load("ansM8c.RData")


tt <- sienaTimeTest(ansM8c,  effects=c(11,24,41))
#tt
#tt$EffectTest
#tt$IndividualTest
plot(tt)

```

### Model 4 - final {.active}
```{r, echo=TRUE}

myeff_t <- myeff_m2

myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="fnet", timeDummy="2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="atmnet", timeDummy="2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="rtnet", timeDummy="2")
myeff_t

myalgorithm <- sienaAlgorithmCreate( projname = 'M8c_t', nsub=5, n3=5000 )
ansM8c_t <- siena07( myalgorithm, data = mydata, prevAns=ansM8c, effects = myeff_t, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM8c_t 
save(ansM8c_t, file=paste("ansM8c_t",".RData",sep=""))
``` 

```{r, echo=TRUE, eval=TRUE}

load("ansM8c_t.RData")	
#xtable.sienaFit(ansM8c_t, file="ansM8c_t.html", type="html", digits=3)


res <- round(fanscsv(ansM8c_t)[c(11,16,26,34,45,53), 1:2],5)

mc <- as.character(round(fanscsv(ansM8c_t)[54,1],3))

row.names(res) <- c(
 "same party (dyad)"  ,      
 "time*same party"   ,     
 "same party (dyad)"  ,      
 "time*same party"   ,     
 "same party (dyad)"  ,      
 "time*same party"   
)
  
M4 <- kbl(res, booktabs=TRUE, digits=3, caption="Model 4", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  #row_spec(c(11, 24,41), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 2, "Atmention" = 2, "Retweets" = 2)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


M4


```

---  

## Model RR {.tabset .tabset-fade}

An anonymous reviewer suggested to try to disentangle the impact of physical seating distance from ideological distance. We therefore added to the party to which each MP belongs a general left-right position according to the Chapel Hill Survey [@jolly2022chapel]. 

### Load data objects 


Data objects:  

- [key](./data-processed/key moederbestand 20171114.sav): information on all politicians on election list  
- [twitter](./data-processed/twitter_20190919.RData)  
    - keyf: information on all 147 MPs with twitter handle  
    - mydata: RSiena object with all kind of goodies inside  
    - seats: seating coordinates of HoP (used for plotting)  
- [CHES](https://www.chesdata.eu/ches-europe): information on party positions see also [@jolly2022chapel]


```{r, eval=TRUE}
library(haven)
ches <- read_dta("./data-raw/CHES_means_2017.dta")
ches <- as.data.frame(ches)
ches <- ches[ches$country==10,]
```


As the ideological position of parties was not included in our original data object we need to fix that. 

```{r data2, echo=TRUE, eval=TRUE, warning=FALSE, message=FALSE}
#STAP 1: read in data
key <- read.spss('data-processed\\key moederbestand 20171114.sav', use.value.labels=T, to.data.frame=T)


load("data-processed\\twitter_20190919.RData")
#str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]

ches$Partij <- ches$party

keyf <- left_join(keyf, ches)



#deconstruct dataobject
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars

fnet <- sienaNet(deps$fnet) 
atmnet <- sienaNet(deps$atmnet)
rtnet <- sienaNet(deps$rtnet)
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1
#add new variable
partypos <- coCovar(keyf$lrgen)  

#reconstruct dataobject
mydata_RR <- sienaDataCreate(fnet,
                          atmnet, 
                          rtnet, 
                          afstand, 
                          egohandle, 
                          egoid, 
                          partij, 
                          coalitie, 
                          cda,
                          cu,
                          denk,
                          d66,
                          fvd,
                          gl,
                          pvda,
                          pvdd,
                          pvv,
                          sgp,
                          sp,
                          vvd,
                          plus, 
                          ethminz,
                          vrouw,
                          lft,
                          kamerlid2016,
                          kabinet2016,
                          pleklijst,
                          pleklijst1,
                          partypos)


```



### Define effects  

```{r echo=TRUE, eval=TRUE, results='hide'}
myeff <- getEffects( mydata_RR )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_RR <- myeff_m2
myeff_RR <- includeEffects(myeff_RR, interaction1="partypos", absDiffX, name="fnet" )
myeff_RR <- includeEffects(myeff_RR, interaction1="partypos", absDiffX, name="rtnet" )
```


```{r echo=TRUE, eval=TRUE}
myeff_RR
```

### estimate model

```{r, echo=TRUE, eval=FALSE}
myalgorithmRR <- sienaAlgorithmCreate( projname = 'RR')

ansRR1 <- siena07( myalgorithmRR, data = mydata_RR, prevAns=ansM8c, effects = myeff_RR, useCluster=TRUE, nbrNodes=8, initC=TRUE, batch=TRUE)

#save(ansRR1, file=paste("ansRR1",".RData",sep=""))
```

### Model RR - final  {.active}

The parameters of interest are in red. 


```{r, echo=TRUE, eval=TRUE}
load("ansRR1.RData")


res <- round(fanscsv(ansRR1)[,1:2],5)
mcpos <- length(res[,1])
res <- res[-mcpos,]
mc <- as.character(round(fanscsv(ansRR1)[mcpos,1],3))
row.names(res) <- c(
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "transitive triplets"  ,          
 "shared popularity"     ,         
 "indegree - popularity"   ,
  " outdegree - popularity" , 
 "outdegree - activity"    ,
 "seating distance (dyad)"         ,               
 "same party (dyad)"                ,    
"incumbancy status (alter)"          ,   
"same incumbancy status (dyad)"       ,       
"position on election list (ego)"      ,
"ideological distance (dyad)" ,
 "rate 1"      ,
 "rate 2"      ,
"outdegree"          ,
 "reciprocity"        ,          
 "transitive triplets" ,         
 "shared popularity"    ,        
 "indegree - popularity" ,
 "outdegree - popularity",
"outdegree - activity "  ,
 "same party (dyad)"            ,      
"party Liberal Democrats (alter)",                    
"party GreenLeft (alter)"         ,            
 "party GreenLeft (ego)"           ,            
 "position on election list (alter)",              
"party leader (alter)"             ,
 "party leader (ego)"               ,
 "rate 1"       ,
 "rate 2"       ,
"outdegree"           ,
"reciprocity"          ,         
"transitive triplets"   ,        
"shared popularity"      ,       
"indegree - popularity ",  
"outdegree - popularity", 
"outdegree - activity "   ,
"seating distance (dyad)"        ,               
 "same party (dyad)"              ,     
 "party Liberal Democrats (ego)"   ,                    
 "party Freedom Party (ego)"        ,               
 "incumbancy status (alter)"         ,   
 "incumbancy status (ego)"            ,  
 "position on election list (alter)"   ,            
"party leader (alter)", 
 "ideological distance (dyad)"
)
  
RR1 <- kbl(res, booktabs=TRUE, digits=3, caption="Model RR: including ideological distance", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  row_spec(c(10, 15,41,49), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 15, "Atmention" = 16, "Retweets" = 18)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


RR1

```

---  



---  


## Model RR2 {.tabset .tabset-fade}

An anonymous reviewer argued that the last candidate elected from each party election list may posses “a heightened interest in active social network engagement to promote themselves or, conversely, aim to develop an individual discourse to bolster their political careers beyond the current legislative term” and suggested to assess the extent to which the same-party effect (party based similarity preferences) would be different for these specific MPs.  

### Load data objects 


Data objects:  

- [key](./data-processed/key moederbestand 20171114.sav): information on all politicians on election list  
- [twitter](./data-processed/twitter_20190919.RData)  
    - keyf: information on all 147 MPs with twitter handle  
    - mydata: RSiena object with all kind of goodies inside  
    - seats: seating coordinates of HoP (used for plotting)  
- [CHES](https://www.chesdata.eu/ches-europe): information on party positions see also [@jolly2022chapel]


```{r data3, echo=TRUE, eval=TRUE, warning=FALSE, message=FALSE}
#STAP 1: read in data
library(haven)
ches <- read_dta("./data-raw/CHES_means_2017.dta")
ches <- as.data.frame(ches)
ches <- ches[ches$country==10,]


key <- read.spss('data-processed\\key moederbestand 20171114.sav', use.value.labels=T, to.data.frame=T)


load("data-processed\\twitter_20190919.RData")
#str(twitter_20190919,1)
keyf <- twitter_20190919[[1]]
mydata <- twitter_20190919[[2]]
seats <- twitter_20190919[[3]]

keyf %>% group_by(Partij) %>%
  summarise(maxlist = max(PlekLijst), #note there are MPs with preference votes. 
            nseats = n()) -> keyf_temp

#correct for three missing MPs. 
keyf_temp$nseats[keyf_temp$Partij=="VVD"] <-  keyf_temp$nseats[keyf_temp$Partij=="VVD"] + 1
keyf_temp$nseats[keyf_temp$Partij=="PVV"] <-  keyf_temp$nseats[keyf_temp$Partij=="PVV"] + 2

keyf <- left_join(keyf, keyf_temp)

keyf$lastlist <- ifelse(keyf$PlekLijst>=keyf$nseats, 1, 0) 

ches$Partij <- ches$party

keyf <- left_join(keyf, ches)



#deconstruct dataobject
deps <- mydata$depvars
covariates <- mydata$cCovars
codyadcovar <- mydata$dycCovars

fnet <- sienaNet(deps$fnet) 
atmnet <- sienaNet(deps$atmnet)
rtnet <- sienaNet(deps$rtnet)
afstand <- codyadcovar$afstand
egohandle <- covariates$egohandle
egoid <- covariates$egoid
partij <- covariates$partij
coalitie <- covariates$coalitie
cda <- covariates$cda
cu <- covariates$cu
denk <- covariates$denk
d66 <- covariates$d66
fvd <- covariates$fvd
gl <- covariates$gl
pvda <- covariates$pvda
pvdd <- covariates$pvdd
pvv <- covariates$pvv
sgp <- covariates$sgp
sp <- covariates$sp
vvd <- covariates$vvd
plus <- covariates$plus
ethminz <- covariates$ethminz
vrouw <- covariates$vrouw
lft <- covariates$lft
kamerlid2016 <- covariates$kamerlid2016
kabinet2016 <- covariates$kabinet2016
pleklijst <- covariates$pleklijst
pleklijst1 <- covariates$pleklijst1
#add new variables
partypos <- coCovar(keyf$lrgen)  
lastlist <- coCovar(keyf$lastlist)
nseats <- coCovar(keyf$nseats)

table(coalitie, partij)

#reconstruct dataobject
mydata_RR2 <- sienaDataCreate(fnet,
                          atmnet, 
                          rtnet, 
                          afstand, 
                          egohandle, 
                          egoid, 
                          partij, 
                          coalitie, 
                          cda,
                          cu,
                          denk,
                          d66,
                          fvd,
                          gl,
                          pvda,
                          pvdd,
                          pvv,
                          sgp,
                          sp,
                          vvd,
                          plus, 
                          ethminz,
                          vrouw,
                          lft,
                          kamerlid2016,
                          kabinet2016,
                          pleklijst,
                          pleklijst1,
                          partypos, 
                          lastlist,
                          nseats)

```



### Define effects  

#### Interaction 'same party' with 'last on list'. 

```{r echo=TRUE, eval=TRUE, results='hide'}
myeff <- getEffects( mydata_RR2 )
myeff_m1 <- myeff

#according to suggestion of rsiena manual
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, inPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outActSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, outPopSqrt, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, transTrip, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, transTrip, name="rtnet" )

myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="fnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="atmnet" )
myeff_m1 <- includeEffects( myeff_m1, sharedPop, name="rtnet" )

myeff_m2 <- myeff_m1

#"kamerlid2016" "pleklijst"    "pleklijst1"

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet" )
#myeff_m2 <- setEffect( myeff_m2, interaction1="kamerlid2016", egoX, name="fnet", fix=TRUE, initialValue = -3, test=TRUE )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="kamerlid2016", sameX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", altX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst1", egoX, name="rtnet" )

myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", egoX, name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="fnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", altX, name="rtnet" )

#these need to be dropped due to collinearity
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, interaction1="pleklijst", diffX, name="rtnet" )

#afstand
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, X, interaction1="afstand", name="rtnet" )



myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="fnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="fnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="fnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="atmnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="atmnet" )
myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="atmnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="atmnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="atmnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="atmnet" )

myeff_m2 <- includeEffects(myeff_m2, sameX, interaction1 = "partij", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "denk", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvdd", name="rtnet" )
myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, egoX, interaction1 = "plus", name="rtnet" )

#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "cu", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "denk", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "d66", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "fvd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "gl", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvda", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvdd", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "pvv", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sgp", name="rtnet" )
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "sp", name="rtnet" )
# myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "vvd", name="rtnet" ) #referentie
#myeff_m2 <- includeEffects( myeff_m2, altX, interaction1 = "plus", name="rtnet" )

myeff_RR <- myeff_m2
myeff_RR <- includeEffects(myeff_RR, interaction1="partypos", absDiffX, name="fnet" )
myeff_RR <- includeEffects(myeff_RR, interaction1="partypos", absDiffX, name="rtnet" )

# Interaction same party with last on list. 

myeff_RR2_I1 <- myeff_RR
myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1=c("lastlist"), name="fnet" )
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1=c("lastlist", "partij"), name="fnet" )

myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1=c("lastlist"), name="rtnet" )
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1=c("lastlist", "partij"), name="rtnet" )

myeff_RR2_I1 <- includeEffects(myeff_RR2_I1, egoX, interaction1=c("lastlist"), name="atmnet" )
myeff_RR2_I1 <- includeInteraction(myeff_RR2_I1, egoX, sameX, interaction1=c("lastlist", "partij"), name="atmnet" )

```


```{r echo=TRUE, eval=TRUE}
myeff_RR2_I1
```

### estimate model

```{r, echo=TRUE, eval=FALSE}
myalgorithmRR2 <- sienaAlgorithmCreate( projname = 'RR2')

ansRR2_I1 <- siena07( myalgorithmRR2, data = mydata_RR2, effects = myeff_RR2_I1, useCluster=TRUE, nbrNodes=12, initC=TRUE, batch=TRUE)

save(ansRR2_I1, file=paste("ansRR2_I1",".RData",sep=""))
```

### Model RR2 - final  {.active}

The parameters of interest are in red. 

Please note, SE are large and that the overall convergence ratio is unsatisfactory. But these results do not provide clear corroborative evidence that the impact of the same-party effect is conditional on whether an MP holds the highest position on the specific election list. 

```{r, echo=TRUE, eval=TRUE}
load("ansRR2_I1.RData")


res <- round(fanscsv(ansRR2_I1)[,1:2],5)
mcpos <- length(res[,1])
res <- res[-mcpos,]
mc <- as.character(round(fanscsv(ansRR2_I1)[mcpos,1],3))
row.names(res) <- c(
 "rate 1"  ,      
 "rate 2"   ,     
 "outdegree"          ,  
 "reciprocity"         ,           
 "transitive triplets"  ,          
 "shared popularity"     ,         
 "indegree - popularity"   ,
  " outdegree - popularity" , 
 "outdegree - activity"    ,
 "seating distance (dyad)"         ,               
 "same party (dyad)"                ,    
"incumbancy status (alter)"          ,   
"same incumbancy status (dyad)"       ,       
"position on election list (ego)"      ,
"ideological distance (dyad)" ,
"last on election list",
"last on election list * same party",
 "rate 1"      ,
 "rate 2"      ,
"outdegree"          ,
 "reciprocity"        ,          
 "transitive triplets" ,         
 "shared popularity"    ,        
 "indegree - popularity" ,
 "outdegree - popularity",
"outdegree - activity "  ,
 "same party (dyad)"            ,      
"party Liberal Democrats (alter)",                    
"party GreenLeft (alter)"         ,            
 "party GreenLeft (ego)"           ,            
 "position on election list (alter)",              
"party leader (alter)"             ,
 "party leader (ego)"               ,
"last on election list",
"last on election list * same party",
 "rate 1"       ,
 "rate 2"       ,
"outdegree"           ,
"reciprocity"          ,         
"transitive triplets"   ,        
"shared popularity"      ,       
"indegree - popularity ",  
"outdegree - popularity", 
"outdegree - activity "   ,
"seating distance (dyad)"        ,               
 "same party (dyad)"              ,     
 "party Liberal Democrats (ego)"   ,                    
 "party Freedom Party (ego)"        ,               
 "incumbancy status (alter)"         ,   
 "incumbancy status (ego)"            ,  
 "position on election list (alter)"   ,            
"party leader (alter)", 
 "ideological distance (dyad)",
"last on election list",
"last on election list * same party"
)
  
RR2 <- kbl(res, booktabs=TRUE, digits=3, caption="Model RR2: including 'last on election list * same party'", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  row_spec(c(16,17, 34,35,54,55), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 17, "Atmention" = 18, "Retweets" = 20)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


RR2

```

---  

  




# Hypothesis 3 {.tabset .tabset-fade} 

## Based on Model 1 

Test for significance of the difference in party-based segregation in the three Twitter layers based on Model 1. 

Hypothesis 3a: Segregation in atmention is larger than in follow. No because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
load("ansM8c.RData")
ans <- ansM8c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,24] <- -1
mat[1,11] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))


```

Hypothesis 3b: Segregation in follow is larger than in retweet. No because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM8c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,11] <- -1
mat[1,41] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```

Segregation in atmention is larger than in retweet. Yes, because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM8c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,24] <- -1
mat[1,41] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```

---  

## Based on Model 2 

Hypothesis 3a: Segregation in atmention is larger than in follow. No because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
load("ansM10c.RData")
ans <- ansM10c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,30] <- -1
mat[1,11] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))


```

Hypothesis 3b: Segregation in follow is larger than in retweet. No because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM10c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,11] <- -1
mat[1,50] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```

Segregation in atmention is larger than in retweet. Yes, because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM10c
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,30] <- -1
mat[1,50] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```

---  


## Based on Model 3 


Hypothesis 3a: Segregation in atmention is larger than in follow. No/YES because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
load("ansM12.RData")
ans <- ansM12
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,32] <- -1
mat[1,11] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))


```

Hypothesis 3b: Segregation in follow is larger than in retweet. No because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM12
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,11] <- -1
mat[1,52] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```

Segregation in atmention is larger than in retweet. Yes, because...

```{r, echo=TRUE, eval=TRUE, results='hold'}
ans <- ansM12
p <- ans$pp

## segregation in atmention is larger than in follow
mat <- matrix(0,1,p)
mat[1,30] <- -1
mat[1,50] <- 1
Wald.RSiena(mat, ans)

dif <- sum(mat * ans$theta)
se <- sqrt(mat %*% ans$covtheta %*% t(mat))

print(paste("difference is", round(dif,3), "with s.e.", round(se, 3), ", t-ratio", round(dif/se, 3)))

```


---  

# Time heterogeneity  in same party effect {.tabset .tabset-fade}

## Empty model 


```{r, echo=TRUE}

myeff <- getEffects( mydata )
myeff_m0 <- myeff

myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name="fnet" )
myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name="rtnet" )
myeff_m0 <- includeEffects(myeff_m0, sameX, interaction1 = "partij", name="atmnet" )

#remove reciprocity
myeff_m0 <- includeEffects(myeff_m0, recip, name="fnet", include = FALSE)
myeff_m0 <- includeEffects(myeff_m0, recip, name="rtnet", include = FALSE)
myeff_m0 <- includeEffects(myeff_m0, recip, name="atmnet", include = FALSE)
myeff_m0

#include the time interactions
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name="fnet", timeDummy="2")
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name="atmnet", timeDummy="2")
myeff_m0 <- includeTimeDummy(myeff_m0, sameX, interaction1 = "partij", name="rtnet", timeDummy="2")
myeff_m0

#estimates
myalgorithm <- sienaAlgorithmCreate( projname = 'M0')
ansM0 <- siena07( myalgorithm, data = mydata, effects = myeff_m0, useCluster=TRUE, nbrNodes=4, initC=TRUE, batch=TRUE)
ansM0

save(ansM0, file=paste("ansM0",".RData",sep=""))

```  

```{r, eval=TRUE}

load("ansM0.RData")
ansM0

```


## Model 1 {.active}

```{r, echo=TRUE, eval=TRUE}
load("ansM8c.RData")


tt <- sienaTimeTest(ansM8c,  effects=c(11,24,41))
#tt
#tt$EffectTest
#tt$IndividualTest
plot(tt)

```


```{r, echo=TRUE}

myeff_t <- myeff_m2

myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="fnet", timeDummy="2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="atmnet", timeDummy="2")
myeff_t <- includeTimeDummy(myeff_t, sameX, interaction1 = "partij", name="rtnet", timeDummy="2")
myeff_t

myalgorithm <- sienaAlgorithmCreate( projname = 'M8c_t', nsub=5, n3=5000 )
ansM8c_t <- siena07( myalgorithm, data = mydata, prevAns=ansM8c, effects = myeff_t, useCluster=TRUE, nbrNodes=10, initC=TRUE, batch=TRUE)
ansM8c_t 
save(ansM8c_t, file=paste("ansM8c_t",".RData",sep=""))
``` 

```{r, echo=TRUE, eval=TRUE}

load("ansM8c_t.RData")	
#xtable.sienaFit(ansM8c_t, file="ansM8c_t.html", type="html", digits=3)


res <- round(fanscsv(ansM8c_t)[c(11,16,26,34,45,53), 1:2],5)

mc <- as.character(round(fanscsv(ansM8c_t)[54,1],3))

row.names(res) <- c(
 "same party (dyad)"  ,      
 "time*same party"   ,     
 "same party (dyad)"  ,      
 "time*same party"   ,     
 "same party (dyad)"  ,      
 "time*same party"   
)
  
M4 <- kbl(res, booktabs=TRUE, digits=3, caption="Model 4", align = "c") %>%
  kable_classic(full_width = F, html_font = "Cambria") %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive")) %>%
  column_spec(column = 1, width = "3in")   %>%
  #row_spec(c(11, 24,41), bold = T, color = "white", background = "#D7261E") %>%
  group_rows(index = c("Following" = 2, "Atmention" = 2, "Retweets" = 2)) %>%
  footnote(general = paste("Overall maximum convergence ratio: ", mc, sep="" ))


M4

```

---  

## Model 2  

```{r, eval=TRUE}
load("ansM10c.RData")

tt <- sienaTimeTest(ansM10c,  effects=c(11,30,50))

plot(tt)
```

---  


## Model 3


```{r, eval=TRUE}
load("ansM12.RData")

tt <- sienaTimeTest(ansM12,  effects=c(11,32,52))

plot(tt)

```


---  





# References  


Copyright © 2021 Jochem Tolsma