I have a matrix with some very funky data. I want to drop the columns
with a mean 1 (for instance).
#Example:
my.mat - matrix(rnorm(100, 0, 3), nrow = 10)
#I know I can get the row means:
apply(my.mat,1, mean)
I think I need to get a vector that has those rows 1
my.mat[-rows1,]
The actual
I'm interested in further understanding the differences in using many
classification trees to improve classification rates. I'm also interested
in finding out what I can do in R and which methods will allow prediction.
Can anybody point me to a citation or discussion?
Specifically, I want to