Scatterplot Showing All Points
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