Would something like ggplot's transparacy option help? Example bascially from http://had.co.nz/ggplot2/geom_point.html
# Plot large data set. d <- ggplot(diamonds, aes(carat, price)) + geom_point() d # plot large data set with transparancy set to 1/10 th p = ggplot(diamonds, aes(carat, price)) + geom_point(alpha = 1/10) p http://had.co.nz/ggplot2/geom_point.html John Kane Kingston ON Canada > -----Original Message----- > From: j...@bitwrit.com.au > Sent: Thu, 14 Jun 2012 21:39:36 +1000 > To: field.c...@gmail.com > Subject: Re: [R] density plot on a log scale > > On 06/14/2012 07:08 PM, field.cady wrote: >> I'm working with a large dataset - large enough that when I do a scatter >> plot >> the points all blur together, so I want to plot their density by color - >> a >> heat map or something like that. I've used smoothScatter for tasks like >> this, but the problem is that my current dataset really only looks good >> on a >> log-log scale. When I do the following command >> >> smoothScatter( >> data, >> xlim=c(100,100000000), >> ylim=c(100,10000000000), >> log="xy", >> pch="." >> ) >> >> the output seems to only show a few of the points, and they are in odd >> places that don't seem to correlate at all with the colors. I got a >> warning >> that I should increase the gridsize, but even using comically large >> values >> (nbin=10000) didn't help. Does anybody know how I can do this? Thanks! >> > Hi field.cady, > This is a very rough example (I haven't bothered to do the log > transformation or anything and the matrix is upside down), but it might > get you where you want to go. > > x<-runif(1000) > y<-runif(1000) > xydens<-matrix(0,10,10) > xybreaks<-seq(0,1,length.out=11) > for(row in 1:10) { > for(column in 1:10) > xydens[row,column]<- > sum(x>=xybreaks[row] & x < xybreaks[row+1] & > y >= xybreaks[column] & y < xybreaks[column+1]) > } > library(plotrix) > color2D.matplot(xydens) > > Jim > > ______________________________________________ > 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. ____________________________________________________________ Publish your photos in seconds for FREE TRY IM TOOLPACK at http://www.imtoolpack.com/default.aspx?rc=if4 ______________________________________________ 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.
