You can do something like:
aaa <- function(data, w=w) {
if (class(w) %in% c("integer", "numeric", "double")) {
out <- mean(w)
} else {
out <- mean(data[, w])
}
return(out)
}
(there are some typos in your function you may want to double check, too)
On Tue, Jun 23, 2015 at 5:39 PM, Steven Yen <sye...@gmail.com> wrote:
> mydata<-data.frame(matrix(1:20,ncol=2))
> colnames(mydata) <-c("v1","v2")
> summary(mydata)
>
> aaa<-function(data,w=w){
> if(is.vector(w)){
> out<-mean(w)
> } else {
> out<-mean(data[wt])
> }
> return(out)
> }
>
> aaa(mydata,mydata$v1)
> aaa(mydata,"v1") # want this call to work
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
