R help - Mar 2012 - multiple hexbin plots with varying greatest densities

Greetings:

I have multiple hexbin plots with varying greatest densities. 

Right now, the data on each plot varies from 1-256 levels of density. The
problem with that is that in Plot A the data are more scattered across a 2 x 2
grid whereas in Plot B the data are more concentrated in fewer cells. Hence,
Plot A has a few very dense grid cells and plot B has nothing as dense as plot
A.

(In Plot A the legend shows that the range of densities per cell is 1-700
whereas for Plot B it is 1-453. Both plots use the full range of available
colors with 256 gradients.)

I want people to be able to compare the two plots and being able to see the
differences in variability of the densities is one of the things I want them to
see. AT PRESENT, each plot uses the full range of densities; hence, this makes
it seem as if each plot has the maximum highest and minimum lowest densities.

How can I do this?

Thanks,

Wayne Gray

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On Mon, Mar 26, 2012 at 4:59 AM, Wayne Gray <wgray.999 at gmail.com>
wrote:
> Greetings:
>
> I have multiple hexbin plots with varying greatest densities.
>
> Right now, the data on each plot varies from 1-256 levels of density. The
problem with that is that in Plot A the data are more scattered across a 2 x 2
grid whereas in Plot B the data are more concentrated in fewer cells. Hence,
Plot A has a few very dense grid cells and plot B has nothing as dense as plot
A.
>
> (In Plot A the legend shows that the range of densities per cell is 1-700
whereas for Plot B it is 1-453. Both plots use the full range of available
colors with 256 gradients.)
>
> I want people to be able to compare the two plots and being able to see the
differences in variability of the densities is one of the things I want them to
see. AT PRESENT, each plot uses the full range of densities; hence, this makes
it seem as if each plot has the maximum highest and minimum lowest densities.
>
> How can I do this?
With the 'lattice' or 'centroids' styles you can use the
maxareaargument to plot.hexbin or to grid.hexagons.

survey::svycoplot() is an example of this: you can either have the
same scale across panels or have each panel use the full range of
sizes.

   -thomas

-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland