?any
Not really a reproducible answer, but I think you're looking
for
apply(tes[,sam],1,function(x)any(is.na(x)))
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
[email protected]
On Thu, 3 Jun 2010, moleps wrote:
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
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