Hi I'm Pasquale, I need to recode variables (columns) of a dataframe (call it X). The observations (rows) are coded as numeric 0,1,2 and NA. I managed to use the lapply() function with recode() as FUN and for() loop but I failed. *My problem is that for each columns the recoding system is different *(i.e. for V1 the code will be 0=a, 1=b, 2=c, for V2 0=z, 1=y, 2=x). My new codes are stored in another data frame (call it Y). colnames(X) and rownames(Y) matches. How can I solve this situation? Thanks a lot in advance, Pasquale -- View this message in context: http://r.789695.n4.nabble.com/Recode-values-tp4680959.html Sent from the R help mailing list archive at Nabble.com.
Recode values
2 messages · lillosdos, Peter Dalgaard
On 22 Nov 2013, at 11:13 , lillosdos <lillo_dicarlo at live.it> wrote:
Hi I'm Pasquale, I need to recode variables (columns) of a dataframe (call it X). The observations (rows) are coded as numeric 0,1,2 and NA. I managed to use the lapply() function with recode() as FUN and for() loop but I failed. *My problem is that for each columns the recoding system is different *(i.e. for V1 the code will be 0=a, 1=b, 2=c, for V2 0=z, 1=y, 2=x). My new codes are stored in another data frame (call it Y). colnames(X) and rownames(Y) matches. How can I solve this situation?
Why rownames(Y) (typo?) I?d expect the ticket to be f <- function(x,names) factor(x, levels=0:2, labels=names) and then mapply(FUN=f, X, listofnamevectors) where listofnamevectors could be just Y or as.data.frame(t(Y)) depending on whether rownames(Y) was really colnames(Y) or not.
Thanks a lot in advance, Pasquale -- View this message in context: http://r.789695.n4.nabble.com/Recode-values-tp4680959.html Sent from the R help mailing list archive at Nabble.com.
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