Selon bogdan romocea <[EMAIL PROTECTED]>: > A related comment - don't rely (too much) on boxplots. They show only > a few things, which may be limiting in many cases and completely > misleading in others. Here are a couple of suggestions for plots which > you may find more useful than the standard box plots: > - figure 3.27 from > http://www.stat.auckland.ac.nz/~paul/RGraphics/chapter3.html > - violin plots (see package vioplot) - density plots - histograms > - box-percentile plots (bpplot from Hmisc) > - quantile plots > - if comparing 2 distributions, qq plots, quantile-difference plots, > mean-difference plots etc.
Hi, HDR (highest density regions) boxplots are interresting. See http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=102 Romain > > -----Original Message----- > > From: Karin Lagesen [mailto:[EMAIL PROTECTED] > > Sent: Tuesday, October 04, 2005 5:24 AM > > To: [EMAIL PROTECTED] > > Subject: [R] boxplot statistics > > > > > > > > I have read and reread the boxplot and the boxplot stats page, and I > > still cannot understand how and what boxplot shows. I realize that > > this might be due to me not knowing enough statistics, but anyway... > > > > First, how does boxplot determine the size of the box? And is the line > > inside the box the mean or the median (or something completely > > different?) And how does it determine how long out the whiskers should > > go? > > > > Also, the boxplot.stats page talks about "hinges", what are those? > > "The two "hinges" are versions of the first and third quartile, i.e., > > close to 'quantile(x, c(1,3)/4)'." > > > > Thankyou very much. > > > > Karin > > -- > > Karin Lagesen, PhD student > > [EMAIL PROTECTED] > > http://www.cmbn.no/rognes/ ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html