From: Marc Schwartz (via MN) <mschwartz_at_mn.rr.com>

Date: Fri 02 Dec 2005 - 06:59:03 EST

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 Received on Fri Dec 02 07:07:24 2005

Date: Fri 02 Dec 2005 - 06:59:03 EST

*> Marc Schwartz (via MN) пишет:
*

> > On Thu, 2005-12-01 at 19:40 +0300, Evgeniy Kachalin wrote:

*> >
**> >>Martin Maechler пишет:
**>
**> >>So I analize genetics data. I have some factor (gene variant, c(1,2,3))
**> >>and the quantitative variable corresponding to that factor. How do I
**> >>visualize this situation? Compare mean of samples corresponding to
**> >>factor values?
**> >>
**> >>Should boxplot support 'mean-in-the-middle', it would fit my needs
**> >>ideally. How do I plot mean +/- SD plot?
**> >>
**> >>Also there is a way to rewrite boxplot.stats and replace "fivenum" there
**> >>for self-made function. Then I would need to write self-made
**> >>boxplot.formula (or boxplot.default?) function. And all this stuff would
**> >>not be configurable. I'm still novice in R, so I need simple way to
**> >>pre-visualize my data and estimate approximate result.
**> >
**> >
**> > If you want means and SDs, you might want to look at:
**> >
**> > 1. plotCI() and plotmeans() in the gplots package
**>
**> So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there
**> any way further?
*

I think that somehow we are talking past each other here.

Review the examples in ?plotmeans.

**HTH,
**
Marc Schwartz

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 Received on Fri Dec 02 07:07:24 2005

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