On Wed, Jul 6, 2011 at 1:37 PM, omernevo <nev...@gmail.com> wrote: > Hello, > > a probably rather stupid question to which I can't find an answer: > > I have a bar chart, and I want to present which bars are significantly > different by placing a line with an asterisk above then (similarly to fig. 3
I would highly recommend some reading about data visualizations techniques (and while you're at it, something on significance testing). Here are two: http://www.b-eye-network.com/view/2468 http://biostat.mc.vanderbilt.edu/wiki/Main/DynamitePlots I would argue for a paradigm switch. > in: http://jnm.snmjournals.org/content/46/4/574.figures-only). > > Does anyone have a reference where can I find some instructions how to learn > this? I don't know of an automated way off hand. But, if you assign the results of barplot() (I am assuming you are using traditional graphics), tmp <- barplot(rnorm(20)) tmp # has the locations on the x axis for each bar now you could go to town with lines() (see ?lines for documentation) to get those bracket thingies and text() to add the asterisks and labels. Alternately, you could add asterisks and such just using points() points(x, y, pch = "*") where x and y are the coordinates where you want the * placed. Good luck, Josh > > Thanks a lot! > Omer > > -- > View this message in context: > http://r.789695.n4.nabble.com/Showing-which-bars-in-a-bar-chart-are-significantly-different-tp3649897p3649897.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. > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles https://joshuawiley.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.
