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Hi, First, thanks to those who helped me see my gross misunderstanding of randomForest. I worked through a baging tutorial and now understand the "many tree" approach. However, it is not what I want to do! My bagged errors are accpetable but I need to use the actual tree and need a single tree application. I am using rpart for a classification tree but am interested in a more unbaised

I have a matrix with NAs and want to extract the longest column. > is.matrix(foo) [1] TRUE > dim(foo) [1] 2000 75 > GetLength <- function(x) {length(na.omit(x))} > junk <- apply(foo, 2, GetLength) > junk [1] 1004 512 432 523 691 396 607 838 [9] 730 389 388 445 609 333 637 1024 [17] 1163 823 718 466 799 459 701 833 [25] 456 549 376 728 539 384

Greetings. I'm trying to determine whether to use rpart or randomForest for a classification tree. Has anybody tested efficacy formally? I've run both and the confusion matrix for rf beats rpart. I've looking at the rf help page and am unable to figure out how to extract the tree. But more than that I'm looking for a more comprehensive user's guide for randomForest including