Hi, I suggest taking a look at the plotting functions in the ggplot2 package. For example:
x <- rnorm(10000) y <- x+rnorm(10000) dat <- data.frame(x,y) library(ggplot2) p <- ggplot(dat, aes(x=x, y=y)) p + geom_point() # too much overplotting: compare to dev.new() p + geom_hex(binwidth=c(.1,.1)) Best, Ista On Sun, Nov 21, 2010 at 9:13 AM, madr <madra...@interia.pl> wrote: > > I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is > possible to see how many overlapping is in the plot. But disadvantage of it > is that single points are barely visible on the background. So I wonder if > there is possible to make setting that single points would be almost black, > but with more and more data on the same spot it would get more and more > whiteish. Or maybe it is possible to make sole data points black but > overlapped tending to some particular color of choice ? > -- > View this message in context: > http://r.789695.n4.nabble.com/negative-alpha-or-custom-gradient-colors-of-data-dots-in-scatterplot-tp3052394p3052394.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ 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.
