Hi Catherine,
Assuming your variables are in a dataframe called myData, some
variation of the following may be what you want:
library(ggplot2)
myData.m <- melt(myData, measure.vars=c("Y1", "Y2"))
qplot(X, value, colour=variable, shape=groupf3,
facets=groupf1~groupf2, geom="point", data=myData.m)
-Ista
On Mon, Oct 12, 2009 at 4:36 PM, catherineLF <cathelf at hotmail.com>
wrote:>
> Dear everyone,
> sorry to bother you. I have a big data, suppose it has 200 groups and each
> group has 100 data. So the data have 20000 observations in total. The
> variables are
> groupf1 ?groupf2 groupf3 ?X ?Y1 ?Y2
> 1 ? ? ? ? ? ? ? ? 1 ? ? ? ? ? ?1 ? 1 0.5 ?0.5
>
> ....
> groupf1, groupf2 and groupf3 are defining the 200 groups.
>
> I want to make 200 graphs for each group. For each group, graph Y1 and Y2
vs
> X.
> Is there any easy way to do that?
>
> Thank you very much for your help!
> Catherine
> --
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>
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--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org