Finding NAs in DF
building on the previous responses, does this give you what you want:
x
A B 1 1 1 2 2 NA 3 NA NA 4 NA 4
# determine where the NAs are row.na <- apply(x, 1, is.na) # now convert to list of columns with NAs apply(row.na, 2, function(a) paste(colnames(x)[a], collapse = ','))
[1] "" "B" "A,B" "A"
On Mon, Jan 17, 2011 at 5:01 AM, Johannes Graumann
<johannes_graumann at web.de> wrote:
Hi, What is an efficient way to take this DF ? ? ? ?data.frame(A=c(1,2,NA,NA),B=c(1,NA,NA,4)) and get ? ? ? ?c(NA,"TWO","BOTH","ONE") as the result, where NA corresponds to a row without "NA"s, TWO indicates NA in the second and ONE in the first column. Thanks for any pointers. Joh
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