[18996] in s-news-athena
[S] Date: Sat, 21 Aug 1999 12:45:01 +0800
daemon@ATHENA.MIT.EDU (Abd Rahman Kassim)
Sat Aug 21 00:50:04 1999
Date: Fri, 20 Aug 1999 23:46:33 -0500 (CDT)
Message-Id: <01BEEBD2.FD100E60@ABDRAHMA>
From: Abd Rahman Kassim <rahmank@frim.gov.my>
To: "s-news@wubios.wustl.edu" <s-news@wubios.wustl.edu>
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Dear S-plus users,
Thank for your prompt reply. Both solution solve my problem.
Stated below are the response to my earlier question.
Solution 1:
ans <- lapply(levels(V1), function(x)table(V2[V1==x], V3[V1==x]))
(V1, V2 and V3 are the names of the 3 variables.)
If you want to label the elements of the resulting list according to the
levels of V1, you can use
names(ans) <- levels(V1)
Solution 2:
* table(v1,v2,v3)
Dear S-Plus users,
I have a set of data with three categorical variable. I would like to summaries the first two variable in tabular form for each category in the third variable.
I have tried the table functions :
table (variable 1[variable 3== "a"], variable 2 [variable 3== "a"])
It works for one category of the third variable one at a time. How can I run the table function for each category in variable 3 in one run.
Any helps appreciated.
Abd Rahman Kassim
Hill Forest Silviculture
FRIM
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