[R] Clean up a scatterplot with too much data

[Paul Hiemstra]

 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.
>
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-- 
Paul Hiemstra, Ph.D.
Global Climate Division
Royal Netherlands Meteorological Institute (KNMI)
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