On 01/15/2010 07:10 PM, Uli Kleinwechter wrote:
Dear all,
I'm looking for a way to replace NA's with 0 for a number of variables
which share the same ending and which constitute a subset of a data frame.
Say, for example, there is
data<- data.frame(ax=c(1,2,3,NA,0) , bx=c(3,5,NA,5,1) ,
ay=c(5,NA,2,NA,0) , by=c(4,2,NA,2,1))
data
ax bx ay by
1 1 3 5 4
2 2 5 NA 2
3 3 NA 2 NA
4 NA 5 NA 2
5 0 1 0 1
I wish to apply something like //
//
/> data[is.na(data)]<- 0/
//
but not to the entire data frame, rather only to the variables ending
with x.
Hi Uli,
How about:
data[,grep("x",names(data))][is.na(data[,grep("x",names(data))])]<-0
Jim
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