Hi, I have a data set that has columns "bird.species", "tree.species"and "count". I am investigating differences in tree species usge by two species of birds. "Count" is numerical and is a count of observations of bird species x using tree species x. For bird species A I have 3 different counts for each tree species. For bird species B I have only 1 count for each tree species.
I have generated a barplot using the following function: barplot(tapply(count,list(bird.species,tree.species),mean),beside=TRUE) This graph is so far ok and gives the mean count for bird species A. I want to add error bars to illustrate the variance in mean of bird species A for each tree species. The error bar function I am using is: error.bars<-function(yv,z,nn){ xv<-barplot(yv,ylim=c(0,(max(yv)+max(z))),names=nn, ylab=deparse(substitute(yv))) g<-(max(xv)-min(xv))/50 for (i in 1:length(xv)){lines(c(xv[i],xv[i]),c(yv[i]+z[i],yv[i]-z[i])) lines(c(xv[i]-g,xv[i]+g),c(yv[i]+z[i],yv[i]+z[i])) lines(c(xv[i]-g,xv[i]+g),c(yv[i]-z[i],yv[i]-z[i]))}} I used "error.bars(ybar1,se1,labels1)" to try generate the error bars with se1<-rep("standard error of a mean", "no. of numbers used to calculate mean") labels1<-as.character(levels(tree.species)) ybar1<-as.vector(tapply(count,tree.species,mean)) but the it failed and the resulting warning I got was: Error in barplot.default(yv, ylim = c(0, (max(yv) + max(z))), names = nn, : incorrect number of names I was wondering If anyone could help with me this warning, or point me in the right direction as to how to illustrate the variance in means from bird species A without adding any error bars to bird species B (which has no variance to show)? Any help is very much appreciated, Thanks, Seán Kelly. -- View this message in context: http://n4.nabble.com/Error-bars-on-barplots-for-only-particular-bars-tp1014284p1014284.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.