jcarmichael <jcarmichael314 <at> gmail.com> writes: > > > Thank you for the GGobi reference, it is a very handy tool! My main goal, > however, is to be able to identify univariate outliers (with boxplots for > example), and I'm having a hard time getting the rggobi package to do that. > Hmmm... I guess because GGobi is designed for the "visualization of high-dimensional data", boxplots of individual vectors isn't a priority. Sorry if that was a bad lead. (Still cool software, though!)
You can, however, use identify. An RSiteSearch for "identify boxplot" will give you a number of leads. I often recommend John Fox's R Commander GUI as a tool to help with learning syntax. In this case, the Rcmdr dialogue for boxplots includes a checkbox for "identify outliers with mouse". You can use this dialogue with this option checked, and then examine the syntax to see how it was done: data(Angell, package="car") boxplot(Angell$hetero, ylab="hetero") identify(rep(1, length(Angell$hetero)), Angell$hetero, rownames(Angell)) The results of the RSiteSearch will explain how/why this works. (Hint: the "rep(1,length(z)),z" pattern essentially defines x,y coordinates of all the points that make up the boxplot - for a univariate boxplot, all have an 'x' coordinate of 1). In a similar vein, the latticist GUI (package playWith - need GTK libraries or runtime (windows) installed) has similar functionality with parallel boxplots. Hope this helps. Michael Bibo Queensland Health ______________________________________________ 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.
