Hi, One solution could be to subsample the data, or jitter the data (give it some random noise). A more elegant solution, imho, is to use a 2d histogram (3d histogram is not a good alternative, I think it is much better to use color instead of a third dimension). I don't think this is easy to make using the standard plot system in R, but ggplot2 handles it nicely. This would involve you needing to learn ggplot2, but I would highly recommend that anyways :). An example of the plot I have in mind can be seen at:
http://had.co.nz/ggplot2/stat_bin2d.html Just scroll down a bit for some examples. cheers, Paul On 08/02/2011 05:26 AM, DimmestLemming wrote: > I'm working with a lot of data right now, but I'm new to R, and not very good > with it, hence my request for help. What type of graph could I use to > straighten out things like... > > http://r.789695.n4.nabble.com/file/n3711389/Untitled.png > > ...this? > > I want to see general frequencies. Should I use something like a 3D > histogram, or is there an easier way like, say, shading? I'm sure these are > both possible, but I don't know which is easiest or how to implement either > of them. > > Thanks! > > -- > View this message in context: > http://r.789695.n4.nabble.com/Clean-up-a-scatterplot-with-too-much-data-tp3711389p3711389.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. -- Paul Hiemstra, Ph.D. Global Climate Division Royal Netherlands Meteorological Institute (KNMI) Wilhelminalaan 10 | 3732 GK | De Bilt | Kamer B 3.39 P.O. Box 201 | 3730 AE | De Bilt tel: +31 30 2206 494 http://intamap.geo.uu.nl/~paul http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770 ______________________________________________ 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.
