[R] No Data in randomForest predict

[Liaw, Andy]

It doesn't:  You just get an error if there are NAs in the data; e.g.,

R> rf1 = randomForest(iris[1:4], iris[[5]])
R> predict(rf1, newdata=data.frame(Sepal.Length=1, Sepal.Width=2, Petal.Length=3, Petal.Width=NA))
Error in predict.randomForest(rf1, newdata = data.frame(Sepal.Length = 1,  : 
  missing values in newdata
 
Andy

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Jennifer Corcoran
Sent: Saturday, May 05, 2012 5:17 PM
To: r-help at r-project.org
Subject: [R] No Data in randomForest predict

I would like to ask a general question about the randomForest predict
function and how it handles No Data values.  I understand that you can omit
No Data values while developing the randomForest object, but how does it
handle No Data in the prediction phase?  I would like the output to be NA
if any (not just all) of the input data have an NA value. It is not clear
to me if this is the default or if I need to add an argument in the predict
function.

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