Hi folks,
I'm trying to do something that seems like it should easy, but it apparently
isn't. I have two large matrices, both containing a number of missing values
at different cells. I would like to average these matrices, but the NAs are
preventing me. I get a "non-numeric argument to binary operator" error. That's
the first problem.
test<-read.csv("test.csv",header=FALSE)
test2<-read.csv("test2.csv",header=FALSE)
test_ <- as.matrix(test,na.rm=T)
test2_ <- as.matrix(test2,na.rm=T)
testave<- (test_+test2_)/2
??
So off the bat I'm doing something wrong.
How would I replace the missing values in one matrix with the corresponding
non-missing values in another? It's acceptable to me if I only have one value
representing the average for a particular coordinate.
Any help would be appreciated!
_________________________________________________________________
Bing™ finds low fares by predicting when to book. Try it now.
=WLHMTAG&crea=TXT_MTRHPG_Travel_Travel_TravelDeals_1x1
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list
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.
