[R] Cluster analysis using numeric and factor variables

Hi, Are there any algorithms that handle numeric and factor variables together in a cluster analysis? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R

[R] Progress bar or execution plan for modeling process

already exists that can be just loaded in to R and use it or we have to tweak the original source of the given model to do this for me? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting

[R] How to use classwt parameter option in RandomForest

arises from how to define these weights. If I say, classwt = c(3,6,9,1,2,3), how exactly the levels get weighted. If this is a 6X6 matrix, I can put a number in each cell to adjust the weights. How does classwt option work? Thank you in advance for any ideas. Nagu

[R] More digits in prediction using random forest object

I need to get more digits in predicting a test sample with a random forests object. Format or options(digits=) do nothing. Any ideas? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the

Re: [R] error in random forest

he test set. The error will most likely be more subtle, though. > > You really need to sort this out yourself. It is not particularly an R > problem, but a confusion over data. To be useful, your training set > need to cover the field for all levels of every factor. Think about it.

[R] error in random forest

iables and the remaining are continuous variables). Any ideas on how to trace it? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guid

[R] Variable importance in Random Forests

random forests algorithm? How do I achieve the same thing for a factor variable? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting

Re: [R] Running randomForests on large datasets

ay, I thought I'd share this observation with the others. Thank you Andy for your ideas. I'll keep tinkering with the parameters. Thank you, Nagu On Wed, Feb 27, 2008 at 5:24 AM, Liaw, Andy <[EMAIL PROTECTED]> wrote: > There are a couple of things you may want to try, if you can

[R] Running randomForests on large datasets

Hi, I am trying to run randomForests on a datasets of size 50X650 and R pops up memory allocation error. Are there any better ways to deal with large datasets in R, for example, Splus had something like bigData library. Thank you, Nagu __ R-help@r

Re: [R] To get more digits in precision of predict function of randomForests

, datasets of size 50X650, and R just can't deal with it (pops up memory allocation problems). Are there any better ways to deal with large datasets in R, for example, Splus had something like bigData library. Thank you, Nagu On Mon, Feb 25, 2008 at 1:56 AM, Uwe Ligges <[EMAIL PROTECTED

[R] To get more digits in precision of predict function of randomForests

? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.

[R] Time-dependent association rules

into sequence pattern matching, if I am correct.) Please advice me on how to proceed? Any references or implementations or algorithms? Thank you, Nagu __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the