[R] "continuous" boxplot?
gunter.berton at gene.com
Tue Oct 2 20:57:15 CEST 2007
I found the references in the previous replies to this vexing data
visualization issue to be quite interesting and useful. I think it fair to
say that there is no single "best" way to do this -- it all depends on what
you need to learn , and probably several alternative displays will be
necessary to get the important information the data have to convey.
However,as always, this issue has been considered before, and it may be
worthwhile to at least consider an already available "standard" approach"
using shingles and a trellis-type plot. ?xyplot and ?shingle should get you
started (you probably want to shingle or bin on quantiles of y). The
canonical reference is Bill Cleveland's VISUALIZING DATA (see "coplots").
Genentech Nonclinical Statistics
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Jim Porzak
Sent: Tuesday, October 02, 2007 11:19 AM
To: Karin Lagesen
Cc: r-help at r-project.org
Subject: Re: [R] "continuous" boxplot?
I like to use bagplots in these cases where there are a lot of cases and
scatter plots become one big smudge.
And some further examples on slides 36 - 39 of
San Francisco, CA
On 10/1/07, Karin Lagesen <karin.lagesen at medisin.uio.no> wrote:
> I have two vectors x and y, which I would like to plot against each
> other. I am also displaying other data in this plot. However, I have
> about 1 million points to plot, and just plotting them x againt y is
> not very informative. What I'd like to do is to do sort of a
> continuous box plot.
> My x values goes from -1 to 1 and my y values from 0 to 1, so I4d like
> to plot the median and quantiles, and possibly also all of the
> outliers somehow. Are there any facilities in R for doing something
> like this, or would I need to do this the hard coded way?
> Thankyou very much for your help!
> Karin Lagesen, PhD student
> karin.lagesen at medisin.uio.no
> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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