[R] arrangement of crowded labels

[Greg Snow]

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
801.408.8111


> -----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
> 
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