I did not have much success with ggplot2 and reshape libraries, so finally I managed to work out the graph in a rather complicated way. The only thing I cannot figure out is, how do I place the legend outside the barplot column area?
attach(tolerancija.data) ateist = table(G09_01) dvasin = table(G09_02) gamtos = table(G09_03) kr_klm = table(G09_04) musulm = table(G09_05) na_kri = table(G09_06) pagoni = table(G09_07) satani = table(G09_08) rytų_k = table(G09_08) satani = table(G09_09) tradic = table(G09_10) eilutes=cbind(ateist,dvasin,gamtos,krikšč,musulm,kr_klm,na_kri,pagoni,rytų_k,satani,tradic) barplot(prop.table(eilutes,2),col=c("red3","red2","cyan","green2","green3"),legend.text=c("visiškai sutinku","nesutinku","abejoju","sutinku","visiškai sutinku"),main="My title") dettach(tolerancija.data) However, this is a lot of writing. How do I make into a function to be reusable? Donatas On Jul 16, 2007, at 9:06 , Donatas G. wrote: > Hi, > > I cannot figure out how to draw a certain plot: could someone help > me out? > > I have this data.frame from a survey > my.data > > that looks like something like this: > > col1 col2 col3 col4 > 1 5 5 4 5 > 2 3 5 3 1 > 3 2 3 4 5 > 4 3 1 1 2 > 5 5 5 4 5 > 6 4 2 5 5 > .... > > > Each row represents a single questionnaire with someone giving his > agreement/disagreement with a statement (each column is a > statement) that is > coded from 1 to 5. > > I need to draw a barplot giving a visual representation showing > differences > between the five columns: Each bar should represent a single > column, and > should be divided into 5 sections, the thickness of each depending > on the > number of respondents who choose that particular answer. > > How do I do that? All I have managed to do so far is to produce a > barplot of a > single column, and that - only with bars side by side... -- Donatas Glodenis http://dg.lapas.info ______________________________________________ R-help@stat.math.ethz.ch 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.