require(reshape2)
melt(dum, id = 1)
On Wednesday, March 16, 2011 at 9:28 AM, pelt wrote:
Dear all,
> 
> I have a dataframe which looks like this (dummy):
> 
> date<-c("jan", "feb", "mar", "apr", "may", "june", "july", 
> "aug","sep","oct","nov","dec")
> col1<-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5)
> col2<-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3)
> dum<-data.frame(cbind(date,col1,col2))
> dum
>  date col1 col2
> 1 jan 8.2 3.1
> 2 feb 5.4 2.3
> 3 mar 4.3 4.7
> 4 apr 4.1 6.9
> 5 may 3.1 7.5
> 6 june 2.5 1.1
> 7 july 1.1 3.6
> 8 aug 4.5 8.5
> 9 sep 3.2 7.5
> 10 oct 1.9 2.5
> 11 nov 7.8 4.1
> 12 dec 6.5 2.3
> 
> I would like to convert this data.frame into something that looks like this:
>  date rainfall category
> 1 jan 8.2 col1
> 2 feb 5.4 col1
> 3 mar 4.3 col1
> 4 apr 4.1 col1
> 5 may 3.1 col1
> 6 june 2.5 col1
> 7 july 1.1 col1
> 8 aug 4.5 col1
> 9 sep 3.2 col1
> 10 oct 1.9 col1
> 11 nov 7.8 col1
> 12 dec 6.5 col1
> 1 jan 3.1 col2
> 2 feb 2.3 col2
> 3 mar 4.7 col2
> 4 apr 6.9 col2
> 5 may 7.5 col2
> 6 june 1.1 col2
> 7 july 3.6 col2
> 8 aug 8.5 col2
> 9 sep 7.5 col2
> 10 oct 2.5 col2
> 11 nov 4.1 col2
> 12 dec 2.3 col2
> 
> So the column-names become categories. The dataset is rather large with 
> many columns and a lengthy date-string. Is there an easy way to do this?
> 
> Thank you for your help,
> 
> Kind regards,
> 
> Saskia van Pelt
> 
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> 

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