3 messages · mika03, PIKAL Petr, Duncan Murdoch
Hi, I think this is a pretty basic question. I still couldn#t find the answer to it, though. I have some data loaded into R, which looks like this:
data()
... 38358 Advice Article 38359 Advice Article 38360 GeneralInfo List 38361 GeneralInfo Article 38362 Purchase Paragraphs 38363 Purchase List 38364 Purchase Paragraphs ... I now would like to edit the data in such a way that every "Advice" is changed into "GeneralInfo". Is there some easy way how I can do this? Thanks a lot!
Hi r-help-bounces at r-project.org napsal dne 14.12.2007 13:39:02:
Hi, I think this is a pretty basic question. I still couldn#t find the
answer to
it, though. I have some data loaded into R, which looks like this:
data()
... 38358 Advice Article 38359 Advice Article 38360 GeneralInfo List 38361 GeneralInfo Article 38362 Purchase Paragraphs 38363 Purchase List 38364 Purchase Paragraphs ...
If it is factor you can change its levels
temp$V1
[1] A01 A01 A01 A02 A02 A03 A03 A04 Levels: A01 A02 A03 A04
levels(temp$V1)
[1] "A01" "A02" "A03" "A04"
levels(temp$V1)[1:2]<-"one" temp$V1
[1] one one one one one A03 A03 A04 Levels: one A03 A04 Regards Petr
I now would like to edit the data in such a way that every "Advice" is changed into "GeneralInfo". Is there some easy way how I can do this? Thanks a lot!
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Hi, I think this is a pretty basic question. I still couldn#t find the answer to it, though. I have some data loaded into R, which looks like this:
data()
... 38358 Advice Article 38359 Advice Article 38360 GeneralInfo List 38361 GeneralInfo Article 38362 Purchase Paragraphs 38363 Purchase List 38364 Purchase Paragraphs ... I now would like to edit the data in such a way that every "Advice" is changed into "GeneralInfo". Is there some easy way how I can do this?
This is a little tricky, because R has probably converted those columns into factors. Let's assume that column 2 is named Type and the dataset is named dat. Then you replace it as dat$Type[dat$Type == "Advice"] <- "GeneralInfo" You'd think the following would work: dat$Type <- ifelse(dat$Type == "Advice", "GeneralInfo", dat$Type) but it doesn't, because ifelse() loses the factor levels. Factors are one of the most error-prone features of the S language. Duncan Murdoch