On 18/12/2007 7:31 AM, Antony Unwin wrote: > Wayne, > > Try the iplot command in iPlots. You can then vary both the > pointsize and the transparency of your scatterplot interactively and > decide which scatterplot conveys the information best. Sometimes > it's helpful to use more than one scatterplot when presenting your > results. > > (I must admit to being very surprised that jittering and sunflower > plots have been suggested for a dataset of 5000 points. Do those who > mentioned these methods have examples on that scale where they are > effective?)
Sure. The original post said there were about 50-60 unique locations. This plot: x <- rbinom(5000, 20, 0.15) y <- rbinom(5000, 20, 0.15) plot(x,y) has a few more unique locations; tune those probabilities if you want it closer. Due to the overlap, the distribution is very unclear. But this plot plot(jitter(x), jitter(y)) makes the distribution quite clear. I wouldn't use the default pch if I had 50000 points, but with pch=".", it's not so bad even in that case. Duncan Murdoch ______________________________________________ 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.
