Hello, The answers you had in another thread could lead you to
bp <- boxplot(DATA$ave, data= DATA, main= "Average Size") idx <- which(DATA$ave %in% bp$out) text(x= bp$group, y= bp$out, labels= DATA$num[idx], cex = 0.7, pos = 4) Hope this helps, Rui Barradas Em 09-04-2013 17:31, Beatriz González Domínguez escreveu:
Dear all, I have just sent an enquiry but probably I hadn’t expressed myself properly. Could anyone help me with the following? When I run the code on my data I get a boxplot with outliers identified by numbers 200 & 201. However, what I would like is to label these outliers with their corresponding “DATA$num� values of the data frame. In this example, the outliers should be labelled as: 211 & 225 Do you have any idea of how I could do this? Please, if you need any more details just get in touch. Many thanks in advance! ## R CODE #DATA num <- as.numeric(200:225) ave <- c(0.5, 1, 1.6, 2, 2, 2.3, 2.5, 2.4, 3, 3.2, 3.3, 7.2, 4, 4.8, 3.5, 2.7, 3.1, 2.8, 4.1, 2.0, 2.5, 2.1, 3.4, 2.5, 2.6, 7) DATA <- data.frame(cbind(num, ave)) rm(num, ave) #BOXPLOT x11() bp <- boxplot(DATA$ave, data= DATA, main= "Average Size") identify(x= bp$group, y= bp$out, labels= DATA$num, cex = 0.7) Bea [[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.
______________________________________________ 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.