On Mon, Mar 26, 2012 at 4:59 AM, Wayne Gray <wgray....@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 maxarea= argument 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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
