R: Add column with condition-check on three columns? -


my df1 follows:

df1 <- data.frame(a=c("a","b","c","d","e"), b=c("f","g","t","g","u"), c=c("m","na","na","na","m"), d=c("a","na","na","na","na"), e=c("na","na","na","na","g"), g=c(1:5))    b  c  d  e g 1 f  m  na 1 2 b g na na na 2 3 c t na na na 3 4 d g na na na 4 5 e u  m na  g 5

i want add column based on readings in column c, d , e. if na, want add x column h. if of them not na, want add yes column h. results follows:

  b  c  d  e g h 1 f  m  na 1 yes 2 b g na na na 2 x 3 c t na na na 3 x 4 d g na na na 4 x 5 e u  m na  g 5 yes

could experts teach me how efficiently r?

transform(df1, h = ifelse(is.na(c) & is.na(d) & is.na(e), "x", "yes"))

note works if nas encoded na rather string "na".

see ?transform , ?ifelse descriptions of functions. single & operator pairs vector operands item item , boolean operation on each pair, returning logical vector.


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