Re: [R] sampsize in Random Forests

... On 10 mar, 17:00, "Liaw, Andy" <[EMAIL PROTECTED]> wrote: > Are you sure there are 100 sites in your data? Here's an example: > > R> library(randomForest)randomForest4.5-23 > Type rfNews() to see new features/changes/bug fixes. > R> f <- factor(sample(1:4, nrow(iris), replace=TRUE)) > R> rf1

Re: [R] sampsize in Random Forests

Dear Naiara and Andy, My strategy in cases with unbalanced data is: tmp <- as.vector(table(factors)); num_clases <- length(tmp); min_size <- tmp[order(tmp,decreasing=FALSE)[1]]; vector_for_sampsize <- rep(min_size,num_clases); Then: randomForest(..., y=factors, sampsize=vector_for_sampsize) I h

Re: [R] sampsize in Random Forests

] > [mailto:[EMAIL PROTECTED] On Behalf Of Naiara Pinto > Sent: Sunday, March 09, 2008 5:19 PM > To: r-help@r-project.org > Subject: [R] sampsize in Random Forests > > Hi all, > > I have a dataset where each point is assigned to a class A, B, C, or > D. Each point is a

[R] sampsize in Random Forests

Hi all, I have a dataset where each point is assigned to a class A, B, C, or D. Each point is also assigned to a study site. Each study site is coded with a number ranging between 1-100. This information is stored in the vector studySites. I want to run randomForests using stratified sampling, so