Last active
August 29, 2015 13:56
-
-
Save vanatteveldt/8821524 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
library(reshape) | |
library(foreign) | |
library(irr) | |
# prepare data as 'molten' article - coder - issue - variable - value rows | |
b = read.spss("betrouwbaarheid.sav", to.data.frame=T) | |
d = b[, c("Coder","ArticleId", "Sourcepartytype", "Subjectpartytype", "Objectpartytype","Sourcedim", "Subjectdim", "Objectdim" )] | |
d = melt(d, id.vars=c("Coder","ArticleId")) | |
d$party = grepl("partytype", d$variable) | |
d = d[!is.na(d$value), ] | |
# noemen partijen, 4 cat (coa, opp, new, strucopp) in 'Xpartytype' variables -> $party = T | |
e = cast(d[d$party,], ArticleId + value ~ Coder , fun.aggregate=length) | |
all = merge(data.frame(ArticleId=unique(b$ArticleId)), data.frame(value=unique(e$value)), by=NULL) | |
all = merge(all, e, all.x=T) | |
all[is.na(all)] = 0 | |
m = all[, -1:-2] | |
kripp.alpha(t(m), method="interval") | |
mkjb = all[,match(c("kim", "Jessica", "brechje", "Sjoerd"), colnames(all))] | |
kripp.alpha(t(mkjb), method="interval") | |
# noemen issues, polen van dimensies in 'Xdim' variables -> $party = F | |
e = cast(d[!d$party,], ArticleId + value ~ Coder , fun.aggregate=length) | |
all = merge(data.frame(ArticleId=unique(b$ArticleId)), data.frame(value=unique(e$value)), by=NULL) | |
all = merge(all, e, all.x=T) | |
all[is.na(all)] = 0 | |
m = all[, -1:-2] | |
kripp.alpha(t(m), method="interval") | |
mkjb = all[,match(c("kim", "Jessica", "brechje", "Sjoerd"), colnames(all))] | |
kripp.alpha(t(mkjb), method="interval") | |
# noemen issues, alleen 5 dimensies | |
d$dim = NA | |
d$dim[d$value %in% c("left", "right")] = "econom" | |
d$dim[d$value %in% c("green", "grey")] = "envir" | |
d$dim[d$value %in% c("cosmopolitic", "nationalistic")] = "open" | |
d$dim[d$value %in% c("consensus", "Negative Valence")] = "valence" | |
d$dim[d$value %in% c("libertarian", "conservative")] = "progres" | |
e = cast(d[!is.na(d$dim),], ArticleId + dim ~ Coder , fun.aggregate=length) | |
all = merge(data.frame(ArticleId=unique(b$ArticleId)), data.frame(dim=unique(e$dim)), by=NULL) | |
all = merge(all, e, all.x=T) | |
all[is.na(all)] = 0 | |
m = all[, -1:-2] | |
kripp.alpha(t(m), method="interval") | |
mkjb = all[,match(c("kim", "Jessica", "brechje", "Sjoerd"), colnames(all))] | |
kripp.alpha(t(mkjb), method="interval") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment