Hi, I'm trying to create a stacked bar plot with the satisfaction scores from a customer satisfaction survey. I have results for three stores over several weeks and want to create a weekly graph with a stacked bar for each store. I can flatten the dataframe into a table with absolute frequencies, but I can't find how to get relative frequencies. My dataset looks similar to the example below:
Satisfaction <- c(1,1,2,3,4,5,2,2,2,3,1,1,4,5,4,2,3,2,2,2,3,1,3,2,4) Store <- c(1,1,2,3,3,2,2,1,2,3,1,2,3,2,1,3,2,1,2,1,2,3,2,1,3) Week <- c(1,1,1,1,1,1,1,2,2,2,2,2,2,2,3,3,3,3,3,3,3,4,4,4,4) csat <- data.frame(Satisfaction, Store, Week) csat[,1] <- factor(csat[,1], levels=c(1,2,3,4,5), labels=c("Very satisfied", "Satisfied", "Neutral", "Dissatisfied", "Very dissatisfied")) csat[,2] <- factor(csat[,2], levels=c(1,2,3), labels=c("New York", "Paris", "Johannesburg")) csat[,3] <- factor(csat[,3], levels=c(1,2,3,4), labels=c("2012-01", "2012-02", "2012-03", "2012-04")) csat.counts <- table(csat) How do I get the satisfaction scores as a percentage per store per week? It must be something simple, perhaps just because the indexing of a 3-dimensional matrix is not very intuitive to me. Any help is highly appreciated! Kind regards, Patrick [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.