| To: | Glenn.Treacy@ILIM.COM |
|---|---|
| Subject: | Re: Query: generalising tapply to calculate cross sectional correlati |
| From: | james.holtman@convergys.com |
| Date: | Thu, 25 Nov 2004 14:53:43 -0500 |
| Cc: | s-news@lists.biostat.wustl.edu, s-news-owner@lists.biostat.wustl.edu |
I tend to do tapply/lapply on the indices in these cases:
tapply(seq(nrow(jj.df)), jj.df$Date, function(x) cor(jj.df$RANK1[x],
y=jj.df$RANK2[x]))
__________________________________________________________
James Holtman "What is the problem you are trying to solve?"
Executive Technical Consultant -- Office of Technology, Convergys
james.holtman@convergys.com
+1 (513) 723-2929
Glenn.Treacy@ILIM.COM
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t.wustl.edu Subject: [S] Query:
generalising tapply to calculate cross sectional correlati ons
11/25/2004 12:51
Hi,
I would be surprised if there is not a very neat way of doing this in S+
but
I'm stuck.
I have a data frame with a number of observations at each time point and
several attributes for each observation. At each point in time these
attributes are ranked and I want to get the cross correlation at each point
in time. My first effort was
tapply(jj.df$RANK1, list(jj.df$DATE),cor, y=jj.df$RANK2)
This doesn't work because RANK2 has not been segmented by jj.df$DATE where
jj.df$RANK1 has. Any pointers would be greatly appreciated.
Regards,
Glenn Treacy
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