Hello, I would like to create a new dataset where the following four conditions are all met.
rowSums(is.na(UNCA[,11:23]))<12
rowSums(is.na(UNCA[,27:39]))<12
rowSums(is.na(UNCA[,40:52]))<12
rowSums(is.na(UNCA[,53:65]))<12
Thanks!
Hello, I would like to create a new dataset where the following four conditions are all met.
rowSums(is.na(UNCA[,11:23]))<12
rowSums(is.na(UNCA[,27:39]))<12
rowSums(is.na(UNCA[,40:52]))<12
rowSums(is.na(UNCA[,53:65]))<12
Thanks!
Then use the &
operator:
UNCA.new <- UNCA[rowSums(is.na(UNCA[,11:23])) < 12 &
rowSums(is.na(UNCA[,27:39])) < 12 &
rowSums(is.na(UNCA[,40:52])) < 12 &
rowSums(is.na(UNCA[,53:65])) < 12, ]
A single &
is a vectorized function, while a double &&
is unary (typically used in an if
statement, for instance).