r - Is a value present in certain columns of a dataframe (by row)? Using %in% and | on multiple columns works, but is there a more concise way? -


i have dataframe looks like

> df = data.frame(c1=c(3,6,na,5), c2=c(2,na,3,na), c3=c(1,4,4,2)) > df   c1 c2 c3 1  3  2  1 2  6 na  4 3 na  3  4 4  5 na  2

i create additional columns record, each row, whether given value present in c1 or c2, ignoring c3.

this works not concise (especially actual data):

> df$is.2.in.c1.or.c2[df$c1 %in% 2 | df$c2 %in% 2] = 'it there' > df   c1 c2 c3 is.2.in.c1.or.c2 1  3  2  1      there 2  6 na  4             <na> 3 na  3  4             <na> 4  5 na  2             <na>

is there more concise way?

we can try rowsums after creating logical matrix using ==.

i1 <- rowsums(df[1:2]==2, na.rm=true)!=0

it better have logical index ('i1') instead of flagging 'it there'. but, if needed,

ifelse(i1, 'it there', na) #[1] "it there" na            na            na

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