Create divergent stacked bar graph using R from 5-point Likert data

plot.R

# Set the working directory, not entirely necessary though
setwd("/PATH/TO/WORKING/DIRECTORY/something")

# import likert package
require(likert)

# Output to EPS
postscript("result-plot.eps", onefile=FALSE, horizontal=FALSE, height=2.5)

dataset <- read.table("plot-data.csv", header=TRUE, sep=",")

colnames(dataset)[which(names(dataset)=="column.1")] <- "Column 1"
colnames(dataset)[which(names(dataset)=="column.2")] <- "Column 2"
colnames(dataset)[which(names(dataset)=="column.3")] <- "Column 3"
colnames(dataset)[which(names(dataset)=="column.4")] <- "Column 4"
colnames(dataset)[which(names(dataset)=="column.5")] <- "Column 5"

# create colored plot
plotlevels <- c('Strongly Agree', 'Agree', 'Neutral', 'Disagree', 'Strongly Disagree')

tryCatch({
   lbad <- likert(dataset)
}, error=function(e) {
   print("This is good that an error was thrown!")
   print(e)
})

sapply(dataset, class)
sapply(dataset, function(x) { length(levels(x)) } )

for(i in seq_along(dataset)) {
   dataset[,i] <- factor(dataset[,i], levels=plotlevels)
}

experimentdataset <- likert(dataset)

# Do the actual plotting
likert.bar.plot(experimentdataset)

# Close and write the file
dev.off()