Dear R´ers..

In this mock dataset how can I generate a logical variable based on whether just tes or tes3 are NA in each row?? 

test<-sample(c("A",NA,"B"),100,replace=T)
test2<-sample(c("A",NA,"B"),100,replace=T)
test3<-sample(c("A",NA,"B"),100,replace=T)

tes<-cbind(test,test2,test3)

sam<-c("test","test3")
apply(subset(tes,select=sam),1,FUN=function(x) is.na(x))

However this just tests whether each variable is missing or not per row. I´d like an -or- function in here that would provide one true/false per row based on whether test or tes3 are NA. I guess it would be easy to do it by subsetting in the example but I figure there is a more elegant way of doing it when -sam- contains 50 variables...

//M



	[[alternative HTML version deleted]]

