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3000_link_edgeatt_networks_to_node_atts_standardised_vars.R
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3000_link_edgeatt_networks_to_node_atts_standardised_vars.R
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rm(list = ls())
#################
# #
# Name #
# #
#################
# Chiara Broccatelli developed this script
# Mark McCann modified
#############
# Purpose #
#############
# add attributes to networks
#########################
# #
# Load packages #
# #
#########################
library(dplyr)
library(sna)
library(network)
#########################
# #
# Load functions #
# #
#########################
#########################
# #
# Main body of script #
# #
#########################
# - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ##
#--------------------------------------------------------------------------------
# + + + Preparing Control and Baseline nets and attributes + + +
#--------------------------------------------------------------------------------
# - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ##
#===============================================================================
# IMPORTING NETWORKS
#===============================================================================
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/baseline_attributes.rdata")
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/control_attributes.rdata")
# + control schools +
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/control_edge_att_networks.rdata")
# + baseline schools +
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/baseline_edge_att_networks.rdata")
# - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ## - ++ - ##
#-------------------------------------------------------------
# + + + IMPORTING THE ATTRIBUTES
#-------------------------------------------------------------
# ATTRIBUTES SCHOOLS
#Control school
# let's start with control schools
c.gender <- list()
c.std.know <- list()
c.std.att <- list()
c.std.conf <- list()
c.know.var <- list()
c.att.var <- list()
c.conf.var <- list()
c.scale.var <- list()
c.info.var <- list()
c.sex.var <- list()
c.talk.var <- list()
c.outschool.var <- list()
c.schoolid.var <- list()
c.sex_percep.var <- list()
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/control_outschool_friends.rdata")
for (i in 1:6){
link.atts <- filter(control.attributes, respondent_school == i)
c.gender[[i]] <- as.character(link.atts$gender[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.sex.var[[i]] <- as.numeric(link.atts$sex3.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.scale.var[[i]] <- as.numeric(link.atts$scale.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.talk.var[[i]] <- as.numeric(link.atts$talk.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.std.know[[i]] <- as.numeric(link.atts$std.know[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.std.conf[[i]] <- as.numeric(link.atts$std.conf[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.std.att[[i]] <- as.numeric(link.atts$std.att[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.know.var[[i]] <- as.numeric(link.atts$know.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.conf.var[[i]] <- as.numeric(link.atts$conf.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.att.var[[i]] <- as.numeric(link.atts$att.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.sex_percep.var[[i]] <- as.numeric(link.atts$sex_percep[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.schoolid.var[[i]] <- as.numeric(link.atts$respondent_school[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)])
c.outschool.var[[i]] <- as.numeric(control.outside.school[[i]]$outschfriends[match(network.vertex.names(control.edge.att.network[[i]]), control.outside.school[[i]]$respondent_id)])
#table(c.std.att[[1]], useNA = "ifany")
#table(c.gender[[1]], useNA = "ifany")
#table(c.sex.var[[1]], useNA = "ifany")
#table(c.scale.var[[1]], useNA = "ifany")
#table(c.talk.var[[1]], useNA = "ifany")
#table(c.std.know[[1]], useNA = "ifany")
#table(c.std.conf[[1]], useNA = "ifany")
#table(c.std.att[[1]], useNA = "ifany")
#table(c.schoolid.var[[1]], useNA = "ifany")
#table(c.outschool.var[[1]], useNA = "ifany")
set.vertex.attribute(control.edge.att.network[[i]], "gender" , c.gender[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "sex.var" , c.sex.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "scale.var", c.scale.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "talk.var" , c.talk.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "std.know" , c.std.know[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "std.conf" , c.std.conf[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "std.att" , c.std.att[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "know.var" , c.know.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "conf.var" , c.conf.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "att.var" , c.att.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "school.id" , c.schoolid.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "outschool.var" , c.outschool.var[[i]])
set.vertex.attribute(control.edge.att.network[[i]], "sex_percep.var" , c.sex_percep.var[[i]])
}
head(link.atts)
for (i in 1:6) {
link.atts <- filter(control.attributes, respondent_school == i)
control.edge.att.network[[i]] %v% "gender" <- as.character(link.atts$gender[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)])
control.edge.att.network[[i]] %v% "sex.var" <- as.character(link.atts$sex3.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)])
control.edge.att.network[[i]] %v% "scale.var" <-
link.atts$scale.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
# Change to sex.var format control.edge.att.network[[i]] %v% "talk.var" <- link.atts$talk.var[match(network.vertex.names(control.edge.att.network[[i]]), link.atts$id)]
control.edge.att.network[[i]] %v% "talk.var" <- as.character(link.atts$talk.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)])
control.edge.att.network[[i]] %v% "std.know" <-
link.atts$std.know[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "std.conf" <-
link.atts$std.conf[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "std.att" <-
link.atts$std.att[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "know.var" <-
link.atts$know.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "conf.var" <-
link.atts$conf.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "att.var" <-
link.atts$att.var[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "school.id" <-
link.atts$respondent_school[match(network.vertex.names(control.edge.att.network[[i]]),
link.atts$id)]
control.edge.att.network[[i]] %v% "outschool" <- as.character(as.numeric(control.outside.school[[i]]$outschfriends[match(
network.vertex.names(control.edge.att.network[[i]]),
control.outside.school[[i]]$respondent_id
)]))
###Add interaction terms
control.edge.att.network[[i]] %v% "sex.active" <-
ifelse(get.vertex.attribute(control.edge.att.network[[i]] , "sex.var") == "None",
1,
0)
control.edge.att.network[[i]] %v% "know.int" <-
get.vertex.attribute(control.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(control.edge.att.network[[i]] , "std.know")
control.edge.att.network[[i]] %v% "conf.int" <-
get.vertex.attribute(control.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(control.edge.att.network[[i]] , "std.conf")
control.edge.att.network[[i]] %v% "att.int" <-
get.vertex.attribute(control.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(control.edge.att.network[[i]] , "std.att")
get.vertex.attribute(control.edge.att.network[[i]] , "know.int")
###Check isolates - i.e. didn't receive a nomination
iso.check <- degree(control.edge.att.network[[i]]) == 0
###Check nodes without a linked gender - i.e. responded but didn't send a nomination
miss.check <-
is.na(get.vertex.attribute(control.edge.att.network[[i]], 'gender'))
##Check where these are the same i.e. not in data or nominations
# These are true missing, weren't a respondent or recipient of nomination
iso.check & miss.check
true.missing.ids <-
network.vertex.names(control.edge.att.network[[i]])[iso.check &
miss.check]
#Drop the true missing ids
control.edge.att.network[[i]] <-
delete.vertices(control.edge.att.network[[i]], true.missing.ids)
}
table(get.vertex.attribute(control.edge.att.network[[6]], "std.know") , get.vertex.attribute(control.edge.att.network[[6]], "know.var") )
table(get.vertex.attribute(control.edge.att.network[[6]], "talk.var") , get.vertex.attribute(control.edge.att.network[[6]], "know.var") )
# baseline schools
b.gender <- list()
b.std.know <- list()
b.std.att <- list()
b.std.conf <- list()
b.know.var <- list()
b.att.var <- list()
b.conf.var <- list()
b.scale.var <- list()
b.sex.var <- list()
b.talk.var <- list()
b.schoolid.var <- list()
b.outschool.var <- list()
load("T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/baseline_outschool_friends.rdata")
for (i in 1:6){
link.atts <- filter(baseline.attributes, respondent_school == i)
b.gender[[i]] <- as.character(link.atts$gender[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.sex.var[[i]] <- as.numeric(link.atts$sex3.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.scale.var[[i]] <- as.numeric(link.atts$scale.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.talk.var[[i]] <- as.numeric(link.atts$talk.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.std.know[[i]] <- as.numeric(link.atts$std.know[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.std.conf[[i]] <- as.numeric(link.atts$std.conf[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.std.att[[i]] <- as.numeric(link.atts$std.att[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.know.var[[i]] <- as.numeric(link.atts$know.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.conf.var[[i]] <- as.numeric(link.atts$conf.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.att.var[[i]] <- as.numeric(link.atts$att.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.schoolid.var[[i]] <- as.numeric(link.atts$respondent_school[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
b.outschool.var[[i]] <- as.numeric(baseline.outside.school[[i]]$outschfriends[match(network.vertex.names(baseline.edge.att.network[[i]]), baseline.outside.school[[i]]$respondent_id)])
}
for (i in 1:6){
set.vertex.attribute(baseline.edge.att.network[[i]], "gender", b.gender[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "sex.var", b.sex.var[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "scale.var", b.scale.var[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "talk.var", b.talk.var[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "std.know", b.std.know[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "std.conf", b.std.conf[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "std.att", b.std.att[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "know.var", b.std.know[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "conf.var", b.std.conf[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "att.var", b.std.att[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "school.id" , b.schoolid.var[[i]])
set.vertex.attribute(baseline.edge.att.network[[i]], "outschool.var", b.outschool.var[[i]])
link.atts <- filter(baseline.attributes, respondent_school == i)
baseline.edge.att.network[[i]] %v% "gender" <- as.character(
link.atts$gender[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
baseline.edge.att.network[[i]] %v% "sex.var" <- as.character(
link.atts$sex3.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)])
baseline.edge.att.network[[i]] %v% "scale.var" <- link.atts$scale.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
## changes to sex.var variable
baseline.edge.att.network[[i]] %v% "talk.var" <- as.character(
link.atts$talk.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)] )
baseline.edge.att.network[[i]] %v% "std.know" <- link.atts$std.know[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "std.conf" <- link.atts$std.conf[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "std.att" <- link.atts$std.att[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "know.var" <- link.atts$know.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "conf.var" <- link.atts$conf.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "att.var" <- link.atts$att.var[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "school.id" <- link.atts$respondent_school[match(network.vertex.names(baseline.edge.att.network[[i]]), link.atts$id)]
baseline.edge.att.network[[i]] %v% "outschool" <- as.numeric(baseline.outside.school[[i]]$outschfriends[match(network.vertex.names(baseline.edge.att.network[[i]]), baseline.outside.school[[i]]$respondent_id)])
###Add interaction terms
baseline.edge.att.network[[i]] %v% "sex.active" <- ifelse(get.vertex.attribute(baseline.edge.att.network[[i]] , "sex.var") == "None",1,0)
baseline.edge.att.network[[i]] %v% "know.int" <- get.vertex.attribute(baseline.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(baseline.edge.att.network[[i]] , "std.know")
baseline.edge.att.network[[i]] %v% "conf.int" <- get.vertex.attribute(baseline.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(baseline.edge.att.network[[i]] , "std.conf")
baseline.edge.att.network[[i]] %v% "att.int" <- get.vertex.attribute(baseline.edge.att.network[[i]] , "sex.active") * get.vertex.attribute(baseline.edge.att.network[[i]] , "std.att")
###Check isolates - i.e. didn't receive a nomination
iso.check <- degree(baseline.edge.att.network[[i]]) == 0
###Check nodes without a linked school id - i.e. didn't send a nomination
miss.check <- is.na(get.vertex.attribute(baseline.edge.att.network[[i]],'gender') )
##Check where these are the same i.e. not in data or nominations
# These are true missing, weren't a respondent or recipient of nomination
# iso.check & miss.check
true.missing.ids <- network.vertex.names(baseline.edge.att.network[[i]])[iso.check & miss.check]
#Drop the true missing ids
baseline.edge.att.network[[i]] <- delete.vertices(baseline.edge.att.network[[i]],true.missing.ids)
##This code shouldnt be needed with ids fixed up####Drop ids linked to a different school id
####Drop Ids for other schools
#wrong.schid <- get.vertex.attribute(baseline.edge.att.network[[i]],'school.id') != i
#drop.ids <- network.vertex.names(baseline.edge.att.network[[i]])[wrong.schid]
###remove NAs to pass to delete vertices command
#drop.ids <- drop.ids[complete.cases(drop.ids)]
#baseline.edge.att.network[[i]] <- delete.vertices(baseline.edge.att.network[[i]],drop.ids)
}
table(get.vertex.attribute(baseline.edge.att.network[[1]], "know.var" ),
get.vertex.attribute(baseline.edge.att.network[[1]], "std.know" ), useNA = "ifany")
baseline.full.network.with.missing <- list()
for (i in 1:6){
baseline.full.network.with.missing[[i]] <- baseline.edge.att.network[[i]]
}
control.full.network.with.missing <- list()
for (i in 1:6){
control.full.network.with.missing[[i]] <- control.edge.att.network[[i]]
}
###############################################################
###Create node attributes based on in-edge attributes #
###############################################################
for (i in 1:6){
###COunt the number of nodes in the network
leng <- control.full.network.with.missing[[i]]$gal$n
##Create a list with NAs, this prevents an error whenever the next loop returns no value
mean.indeg.sex <- rep(NA, leng)
mean.indeg.ftalk <- rep(NA, leng)
mean.indeg.ftimein <- rep(NA, leng)
mean.indeg.ftimeout <- rep(NA, leng)
mean.indeg.ftimeonline <- rep(NA, leng)
####Take the mean sex nominated by friends
for (j in 1:leng){
mean.indeg.sex[j] <- mean( get.edge.attribute(get.edges(control.full.network.with.missing[[i]],j, neighborhood = "in") ,"fsex") , na.rm = T)
mean.indeg.ftalk[j] <- mean( get.edge.attribute(get.edges(control.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftalk") , na.rm = T)
mean.indeg.ftimein[j] <- mean( get.edge.attribute(get.edges(control.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimein") , na.rm = T)
mean.indeg.ftimeout[j] <- mean( get.edge.attribute(get.edges(control.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimeout") , na.rm = T)
mean.indeg.ftimeonline[j] <- mean( get.edge.attribute(get.edges(control.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimeonline") , na.rm = T)
}
####Create this as a node attribute
set.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.sex',mean.indeg.sex)
set.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftalk',mean.indeg.ftalk)
set.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimein',mean.indeg.ftimein)
set.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimeout',mean.indeg.ftimeout)
set.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimeonline',mean.indeg.ftimeonline)
}
##### #####
##### Baseline #####
##### #####
##### #####
for (i in 1:6){
###COunt the number of nodes in the network
leng <- baseline.full.network.with.missing[[i]]$gal$n
##Create a list with NAs, this prevents an error whenever the next loop returns no value
mean.indeg.sex <- rep(NA, leng)
mean.indeg.ftalk <- rep(NA, leng)
mean.indeg.ftimein <- rep(NA, leng)
mean.indeg.ftimeout <- rep(NA, leng)
mean.indeg.ftimeonline <- rep(NA, leng)
####Take the mean sex nominated by friends
for (j in 1:leng){
mean.indeg.sex[j] <- mean( get.edge.attribute(get.edges(baseline.full.network.with.missing[[i]],j, neighborhood = "in") ,"fsex") , na.rm = T)
mean.indeg.ftalk[j] <- mean( get.edge.attribute(get.edges(baseline.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftalk") , na.rm = T)
mean.indeg.ftimein[j] <- mean( get.edge.attribute(get.edges(baseline.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimein") , na.rm = T)
mean.indeg.ftimeout[j] <- mean( get.edge.attribute(get.edges(baseline.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimeout") , na.rm = T)
mean.indeg.ftimeonline[j] <- mean( get.edge.attribute(get.edges(baseline.full.network.with.missing[[i]],j, neighborhood = "in") ,"ftimeonline") , na.rm = T)
}
####Create this as a node attribute
set.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.sex',mean.indeg.sex)
set.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftalk',mean.indeg.ftalk)
set.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimein',mean.indeg.ftimein)
set.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimeout',mean.indeg.ftimeout)
set.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimeonline',mean.indeg.ftimeonline)
}
table(get.vertex.attribute(baseline.full.network.with.missing[[6]], "std.know") ,
get.vertex.attribute(baseline.full.network.with.missing[[6]], "know.var") )
table(get.vertex.attribute(baseline.full.network.with.missing[[5]], "std.know") ,
get.vertex.attribute(baseline.full.network.with.missing[[5]], "know.var") )
table(get.vertex.attribute(baseline.full.network.with.missing[[5]], "att.int") )
table(get.vertex.attribute(control.full.network.with.missing[[5]], "att.int") )
get.vertex.attribute(control.full.network.with.missing[[1]],'sex_percep.var')
get.vertex.attribute(control.full.network.with.missing[[1]],'mean.nom.sex')
get.vertex.attribute(control.full.network.with.missing[[1]],'outschool')
get.vertex.attribute(control.full.network.with.missing[[1]],'outschool.var')
network.vertex.names(control.full.network.with.missing[[1]])
save(baseline.full.network.with.missing, file = "T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/baseline_full_network_with_missing.rdata")
save(control.full.network.with.missing, file = "T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/control_full_network_with_missing.rdata")
#-------------------------------------------------------------
# + + + SAVE THE DATA + + + + + + + +
#-------------------------------------------------------------
# BASELINE
baseline.net.dataset <- list()
for (i in 1:6){
baseline.net.dataset[[i]] <- as.data.frame(cbind(network.vertex.names(baseline.full.network.with.missing[[i]]),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'school.id'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'gender'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'std.know'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'std.att'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'std.conf'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'know.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'att.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'conf.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'scale.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'sex.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'sex.active'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'know.int'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'conf.int'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'att.int'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'talk.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'outschool.var'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftalk'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimein'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimeonline'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.ftimeout'),
get.vertex.attribute(baseline.full.network.with.missing[[i]],'mean.nom.sex'),
degree(baseline.full.network.with.missing[[i]], cmode = "indegree"),
degree(baseline.full.network.with.missing[[i]], cmode = "outdegree")
)
)
colnames(baseline.net.dataset[[i]]) <- c( "id", "school.id", "gender",
'std.know','std.att','std.conf' ,'know.var',
'att.var','conf.var','scale.var' ,'sex.var','sex.active',
'know.int','conf.int','att.int' ,'talk.var',
'outschool.var','mean.nom.ftalk' ,'mean.nom.ftimein','mean.nom.ftimeonline',
'mean.nom.ftimeout','mean.nom.sex',"indegree","outdegree")
}
# Control
control.net.dataset <- list()
for (i in 1:6){
control.net.dataset[[i]] <- as.data.frame(cbind(network.vertex.names(control.full.network.with.missing[[i]]),
get.vertex.attribute(control.full.network.with.missing[[i]],'school.id'),
get.vertex.attribute(control.full.network.with.missing[[i]],'gender'),
get.vertex.attribute(control.full.network.with.missing[[i]],'std.know'),
get.vertex.attribute(control.full.network.with.missing[[i]],'std.att'),
get.vertex.attribute(control.full.network.with.missing[[i]],'std.conf'),
get.vertex.attribute(control.full.network.with.missing[[i]],'know.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'att.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'conf.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'scale.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'sex.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'sex.active'),
get.vertex.attribute(control.full.network.with.missing[[i]],'know.int'),
get.vertex.attribute(control.full.network.with.missing[[i]],'conf.int'),
get.vertex.attribute(control.full.network.with.missing[[i]],'att.int'),
get.vertex.attribute(control.full.network.with.missing[[i]],'sex_percep.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'talk.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'outschool.var'),
get.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftalk'),
get.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimein'),
get.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimeonline'),
get.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.ftimeout'),
get.vertex.attribute(control.full.network.with.missing[[i]],'mean.nom.sex'),
degree(control.full.network.with.missing[[i]], cmode = "indegree"),
degree(control.full.network.with.missing[[i]], cmode = "outdegree")
)
)
colnames(control.net.dataset[[i]]) <- c( "id", "school.id", "gender",
'std.know','std.att','std.conf','know.var',
'att.var','conf.var','scale.var','sex.var',
'sex.active','know.int','conf.int','att.int','sex.percep.var','talk.var',
'outschool.var','mean.nom.ftalk','mean.nom.ftimein','mean.nom.ftimeonline',
'mean.nom.ftimeout','mean.nom.sex',"indegree","outdegree")
}
str(control.net.dataset[[1]])
head(control.net.dataset[[6]])
summary(control.net.dataset[[1]])
summary(control.net.dataset[[2]])
dim(control.net.dataset[[3]])
dim(control.net.dataset[[4]])
dim(control.net.dataset[[5]])
dim(control.net.dataset[[6]])
dim(baseline.net.dataset[[1]])
dim(baseline.net.dataset[[2]])
dim(baseline.net.dataset[[3]])
dim(baseline.net.dataset[[4]])
dim(baseline.net.dataset[[5]])
dim(baseline.net.dataset[[6]])
#View(baseline.net.dataset[[1]])
#View(control.net.dataset[[1]])
summary(baseline.net.dataset[[2]])
summary(baseline.net.dataset[[3]])
summary(baseline.net.dataset[[4]])
summary(baseline.net.dataset[[5]])
summary(baseline.net.dataset[[6]])
for (i in 1:6) baseline.net.dataset[[i]]$school.id <- i
for (i in 1:6) control.net.dataset[[i]]$school.id <- i
save(control.net.dataset, file = "T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/control_net_dataset.rdata")
save(baseline.net.dataset, file = "T:/projects/stash_trial/09 STASH SNA/Data/AnonymisedData/working data/baseline_net_dataset.rdata")