Hello,
I am finding that the melt function from the reshape library causes
errors when applied to a data.frame that contains numeric and character
columns. For example,
melt(id.vars="ID",data.frame(ID=1:3,date=c("a","b","c"),value=c(1,4,5)))
ID variable value
1 1 date a
2 2 date b
3 3 date c
4 1 value <NA>
5 2 value <NA>
6 3 value <NA>
Warning message:
In `[<-.factor`(`*tmp*`, ri, value = c(1, 4, 5)) :
invalid factor level, NAs generated
It would be useful in this situation that the numerical column got
converted to a character column in this situation. Any ways round this?
In actual fact I have got a situation where it is more like this
ID Date_1 Value_1 Date_2 Value_2 ...
and I would like to convert it to a data.frame of ID, Date & Value but I
thought the above would be an appropriate middle step.
Thanks
Dan
--
**************************************************************
Daniel Brewer, Ph.D.
Institute of Cancer Research
Molecular Carcinogenesis
Email: daniel.bre...@icr.ac.uk
**************************************************************
The Institute of Cancer Research: Royal Cancer Hospital, a charitable Company
Limited by Guarantee, Registered in England under Company No. 534147 with its
Registered Office at 123 Old Brompton Road, London SW7 3RP.
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