[R] multiple visualisation of a bootstrap

[Greg Snow]

Or if you want the plots to not all be the same size and line up in various ways (boxplots as margins of scatter plot, etc.) then look at the layout function.

--
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 Ben Bolker
> Sent: Friday, October 24, 2008 8:14 AM
> To: r-help at stat.math.ethz.ch
> Subject: Re: [R] multiple visualisation of a bootstrap
>
> Fernando Marmolejo Ramos <fernando.marmolejoramos <at> adelaide.edu.au>
> writes:
>
> >
> > Dear R team
>
> > Vista offers a so-called Multiple Visualisation (MV) of the output of
> a
> > bootstrap (it shows on the same window scatter plots for a particular
> variable
> > showing the bootstrapped CI, a scatter plot of
> > the evolution of the bootstrapped
> > mean over many sample sizes, a box plot, a QQ plot, and a histogram).
> >
> > I wonder if there is any manner in which this sort of MV
> > could me mimicked by R
> > in the case of bootstrap. My best guess is that I’d have to create a
> 3 by 2
> > frame an insert each graph separately or maybe resort to Trellis
> > graphics
 am I
> > right? Does anyone have a more sophisticated solution?
> >
>
>   I'm not sure this is the right kind of problem for Trellis graphics
> (which are geared toward using the same plot type for different
> subsets of the data in each panel, rather than different plot types
> of the same data).  The "unsophisticated" solution (which seems
> just fine), as you suggest, is to use par(mfrow) or par(mfcol)
> to break up the plot window into frames, and then plot the
> different bits in each window.
>
> See http://emdbolker.wikidot.com/blog:dynamite for an example
> of plotting the same data in different ways within subplots
> (and
> http://emdbolker.wdfiles.com/local--
> files/blog:dynamite/barboxdotviolin.R
> for the code).
>
>  As far as R is concerned, "sophisticated" would mean
> creating a plotting function for this so that you never
> had to look at the details again ...
>
>   Ben Bolker
>
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