Data transformation
Thank you for your kind help. Your script works very well. Would you please show me how to change NaN to zero and column variables 1, 2, ..., 8 to var1, var2, ..., var8? Thanks again. Legen
jholtman wrote:
Is this what you want:
x <- read.table(textConnection("id code1 code2 p
+ 1 4 8 0.1 + 1 5 7 0.9 + 2 1 8 0.4 + 2 6 2 0.2 + 2 4 3 0.6 + 3 5 6 0.7 + 3 7 5 0.9"), header=TRUE)
closeAllConnections() # create object like output from 'melt' x.m <- data.frame(id=c(x$id, x$id), var=c(x$code1, x$code2),
+ variable=rep('p', 2*nrow(x)), value=c(x$p, x$p))
require(reshape) # use the reshape package cast(x.m, id ~ var, mean)
id 1 2 3 4 5 6 7 8 1 1 NaN NaN NaN 0.1 0.9 NaN 0.9 0.1 2 2 0.4 0.2 0.6 0.6 NaN 0.2 NaN 0.4 3 3 NaN NaN NaN NaN 0.8 0.7 0.9 NaN
On Tue, Nov 10, 2009 at 4:30 PM, legen <legendy at gmail.com> wrote:
Dear all, I have a dataset as below: id ? ?code1 ? ?code2 ? ? ? ? p ?1 ? ? ? ?4 ? ? ? ?8 ? ? ? ? ? 0.1 ?1 ? ? ? ?5 ? ? ? ?7 ? ? ? ? ? 0.9 ?2 ? ? ? ?1 ? ? ? ?8 ? ? ? ? ? 0.4 ?2 ? ? ? ?6 ? ? ? ?2 ? ? ? ? ? 0.2 ?2 ? ? ? ?4 ? ? ? ?3 ? ? ? ? ? 0.6 ?3 ? ? ? ?5 ? ? ? ?6 ? ? ? ? ? 0.7 ?3 ? ? ? ?7 ? ? ? ?5 ? ? ? ? ? 0.9 I just want to rewrite it as this (vertical to horizontal): id ? var1 ?var2 ?var3 ?var4 ?var5 ?var6 ?var7 ?var8 1 ? ? ? ?0 ? ? ?0 ? ? ?0 ? ?0.1 ? 0.9 ? ? ? 0 ? 0.9 ? ?0.1 2 ? ? 0.4 ? ?0.2 ? 0.6 ? ?0.6 ? ? ?0 ? ?0.2 ? ? ?0 ? ?0.4 3 ? ? ? ?0 ? ? ?0 ? ? ?0 ? ? ?0 ? ?0.8 ? ?0.7 ? ?0.9 ? ? ?0 For the third subject, there are two values being equal to 5 in code1 and code2, but different values in p: ?0.7 and 0.9, so I assigned their average 0.8 in var5. Does anybody can help me to handle this? Many thanks for your consideration and time. Legen -- View this message in context: http://old.nabble.com/Data-transformation-tp26291568p26291568.html Sent from the R help mailing list archive at Nabble.com.
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-- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve?
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