I got the problem: dataframe columns are re-ordered alfabetically, but
variable names aren't reordered accordingly in the resulting
dataframe. The problem disappears by specifying the 'varying' argument
as a named list:
d <- matrix(seq_len(7*7), 1, 7*7)
vnames <- c('acc','ppeGross','CF','ROA','DeltaSales','invTA','DeltaRevDeltaRec')
vnames.all <- unlist(lapply(vnames, paste, 1:7, sep='.'))
varying <- split(vnames.all, rep(vnames, each=7))
d <- data.frame(d)
names(d) <- vnames.all
d1 <- reshape(d, varying=varying, direction="long")
d
d1
#Now is ok
2007/11/24, Antonio, Fabio Di Narzo <[EMAIL PROTECTED]>:
> Hi all.
> I have unexpected reshape results on datasets with certain variable
> names. Here a reproducible example:
>
> d <- matrix(seq_len(7*7), 1, 7*7)
> vnames <-
> c('acc','ppeGross','CF','ROA','DeltaSales','invTA','DeltaRevDeltaRec')
> varying <- unlist(lapply(vnames, paste, 1:7, sep='.'))
> d <- data.frame(d)
> names(d) <- varying
> d1 <- reshape(d, varying=varying, direction="long")
> d[,'ppeGross.2'] == d1[d1$time==2,'ppeGross'] #This is FALSE!
> ##Try to compare d and d1: values are wrong from the 2nd column
>
> ##Changing variable names makes thinks go right:
> vnames <- letters[1:7]
> varying <- unlist(lapply(vnames, paste, 1:7, sep='.'))
> names(d) <- varying
> d1 <- reshape(d, varying=varying, direction="long")
> d[,'b.2'] == d1[d1$time==2,'b'] #This is TRUE, as expected
> ##Try to compare d and d1 now: they look right
>
> Any hint on what's wrong here? By now, my workarond is changing
> variable names before reshaping, than re-assign old variable names
> back after reshape.
>
> Best regards,
> Antonio, Fabio Di Narzo.
>
> > R.version
> _
> platform i686-pc-linux-gnu
> arch i686
> os linux-gnu
> system i686, linux-gnu
> status
> major 2
> minor 6.0
> year 2007
> month 10
> day 03
> svn rev 43063
> language R
> version.string R version 2.6.0 (2007-10-03)
>
--
Antonio, Fabio Di Narzo
Ph.D. student at
Department of Statistical Sciences
University of Bologna, Italy
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