hi, Check this
beanplot(count ~ spray, data = InsectSprays, what = c(FALSE, TRUE, TRUE, TRUE)) >From R function help : what : a vector of four booleans describing what to plot. In the following order, these booleans stand for the total average line, the beans, the bean average, and the beanlines. For example, what=c(0,0,0,1) produces a stripchart ggplot can be helpful library(ggplot2) p <- ggplot(InsectSprays, aes(factor(spray), count, fill=factor(spray) ))+ geom_violin() print(p) Regards............. Tanvir Ahamed Stockholm, Sweden | mashra...@yahoo.com On Tuesday, February 13, 2018, 7:32:22 PM GMT+1, Samuel Knapp <samuel.kn...@tum.de> wrote: Hi, I would like to use the beanplot() function from the beanplot package. Unfortunately, I can't find out how to suppress the dashed horizontal line, that shows the overall mean. In the help I've found the argument "overallline", but it only allows for "mean" or "median" . I have tried overallline = F, overallline="n", and overallline="", but without success. Strangely, I could also not find any suggestions on the internet. Does anybody know how to do this? Thanks, Samuel ## Example code using the dataset InsectSprays from datasets package library(beanplot) beanplot(count ~ spray, data = InsectSprays) # How to remove the dashed horizonal line? -- Samuel Knapp Lehrstuhl für Pflanzenernährung Technische Universität München (Chair of Plant Nutrition Technical University of Munich) Emil-Ramann-Strasse 2 D-85354 Freising Tel. +49 8161 71-3578 samuel.kn...@tum.de www.researchgate.net/profile/Samuel_Knapp ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
