Dear R-users,
I have a problem with randomForest{outlier}.
After running the following code ( that produces a silly data set and builds
a model with randomForest ):
#######################
library(randomForest)
set.seed(0)
## build data set
X <- rbind( matrix( runif(n=400,min=-1,max=1), ncol = 10 ) ,
rep(1,times= 10 ) )
Y <- matrix( nrow = nrow(X), ncol = 1)
for( i in (1:nrow(X))){ Y[i,1] <- sign( sum ( X[i,])) }
## build model
mdl.rf <- randomForest( x = X, y = as.factor(Y) , proximity=TRUE , mtry =
10 , ntree = 500)
summary (outlier(mdl.rf) )
#######################
I get the following output:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
41
Can anyone explain why the output of outlier only returns NA's ?
Thanks
Pau
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