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sentence_norming.R
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sentence_norming.R
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rm(list= ls())
norm <- read.csv("D:/R/Zstring/preproc/norming_data_new_sentences.csv")
norm<- norm[-1,-c(1:19)]
norm2<- norm[, -c(1:2)]
norm2<- norm2[, -121]
cols<- colnames(norm2)
ratings<- NULL
get_num<- function(string){as.numeric(unlist(gsub("[^0-9]", "", unlist(string)), ""))}
for(i in 1:length(cols)){
if(grepl("Q", cols[i], fixed = TRUE)){
Measure= "Difficulty"
}else{
Measure= "Naturalness"
}
item<- as.numeric(get_num(unlist(strsplit(cols[i], "_"))[1]))
t<- data.frame("sub"= 1:nrow(norm2), "item"= item,
"measure"= rep(Measure, nrow(norm2)),
"rating"= norm2[,i])
ratings<- rbind(ratings, t)
}
# descriptives:
library(reshape)
Des<- melt(ratings, id=c('sub', 'item', 'measure'),
measure=c("rating"), na.rm=TRUE)
cast(Des, measure ~ variable
,function(x) c(M=signif(mean(x),3)
, SD= sd(x) ))