[R] arrangement of crowded labels

Greg Snow Greg.Snow at imail.org
Thu May 21 21:45:06 CEST 2009

The dynIdentify and TkIdentify functions work in 2 dimensions (and I think the thigmophope.labels does as well).  The algorithm in spread.labs could be adapted to 2 dimensions (the example shows a semi-2 dimensional approach) if you can define what you want to happen (can labels overplot the points?, how far from the points can they move?, etc.), other than toy examples, I think the interactive approach in (dyn/Tk)Identify is probably better than trying to work out all the rules to give to a fully automated function (unless you need something fully automatic).

Hope this helps,

Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Thomas Zumbrunn
> Sent: Thursday, May 21, 2009 11:24 AM
> To: r-help at r-project.org
> Subject: Re: [R] arrangement of crowded labels
> > -----Original Message-----
> > I'm looking for algorithms that assist in spreading out crowded
> labels, e.g.
> > labels of points in a scatter plot, in order to obtain a nicer visual
> > appearance and better legibility.
> >
> > I'm probably just stuck because I didn't find the right key words for
> a
> > successful search on the R websites or in the mailing list archives.
> On Wednesday 20 May 2009, Richard.Cotton at hsl.gov.uk wrote:
> > Try thigmophobe.labels in the plotrix package.
> On Wednesday 20 May 2009, Greg Snow wrote:
> > Look at the spread.labs and the dynIdentify and TkIdentify functions
> in the
> > TeachingDemos package.
> Thanks for your answers. This was almost what I was looking for, except
> that I
> would need something for a 2-dimensional context (my question was not
> specific
> enough).
> Best wishes
> /thomas
> ______________________________________________
> R-help at 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.

More information about the R-help mailing list