Hello again, Well, I still couldn't solve my problem, but I think it really depends on the distribution of the data.
When I only use the first e.g. 2000 values of my data vectors, there is no problem with creating the beanplots. But when I use some random data which is normally distributed, I can also create the plots for much larger sample sizes: > samplesize <- 200000 > tmp1 <- runif(samplesize, min=0, max=1) > tmp2 <- sample(1:13, samplesize, replace=TRUE) > beanplot(tmp1 ~ tmp2, log="", what=c(1,1,1,0), ylim=c(-1,2)) Still, I do not know how I could be able to plot my original data. Anyone has got a clue? Enomis -- View this message in context: http://r.789695.n4.nabble.com/beanplot-Error-sample-is-too-sparse-to-find-TD-tp4291739p4298929.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.
