[R] visual event programming in R

environment) machine learning/data mining software. She is using only the tools provided by tcl/tk (active tcl). I wonder if somebody else has built such kind of environment for a R package, and which tools has used? Best, Edgar Acuna CASTLE group UPR-Mayaguez -- Open WebMail Project

Re: [R] Help with SOM membership

Hi, Try allt.som$visual Edgar Acuna UPRM On Thu, 9 Jun 2005, Ken Termiso wrote: > Hi all, > > I originally posted this to the bioconductor group, but maybe it's better > suited to the r-help... > > I'm using som() to partition samples of gene expression data into

[R] Assistant Professor position

essential. Review of applications will begin February 25, 2005. Send application, official transcripts, and three references to: Personnel Committee Department of Mathematics University of Puerto Rico at Mayaguez PO. Box 9018 Mayaguez, PR 00681-9018 Professor Edgar Acuna Math Department University

Re: [R] Feature selection

Raj, look at academic.uprm.edu/eacuna/softw.htm, I built a library of R functions for data preprocessing tasks including feature selection for supervised classification. Please send me your comments. Edgar On Mon, 25 Oct 2004, Rajdeep Das wrote: > Hello, > I want to do feature selection for clas

Re: [R] Partial Least Squares

The package pls.pcr performs multivariate regression by PLS and PCR Good luck! Edgar Acuna UPR-Mayaguez,Puerto Rico On Fri, 20 Aug 2004, Lana Schaffer wrote: > Friends, > Is there a Partial Least Squares package implemented in R? > Thanks, > Lana > > [[alternative HT

Re: [R] [Help! feature selection]

Hi, Feature selection in which context?. regression, supervised classification, clustering? Edgar Acuna UPRM On Thu, 13 May 2004 [EMAIL PROTECTED] wrote: > Hi, >I would like to find some methods about feature selection, but I > only know the package "randomForest" af

RE: [R] outliers using Random Forest

t-med)/mean(abs(nout-med)) where med is the median of the class containing the case correponding to nout. Best regards Edgar Acuna On Sun, 18 Apr 2004, Liaw, Andy wrote: > The thing to do is probably: > > 1. Use fairly large number of trees (e.g., 1000). > 2. Run a few times and av

[R] outliers using Random Forest

Hello, Does anybody know if the outscale option of randomForest yields the standarized version of the outlier measure for each case? or the results are only the raw values. Also I have notice that this measure presents very high variability. I mean if I repeat the experiment I am getting very diffe

Re: [R] nnet classification accuracy vs. other models

validation. Regards Edgar Acuna UPR-MATH On Sat, 13 Mar 2004, Albedo wrote: > I was wandering if anybody ever tried to compare the classification > accuracy of nnet to other (rpart, tree, bagging) models. From what I > know, there is no reason to expect a significant diff

Re: [R] discretization method

there are plenty of discretization methods, which one are you looking for? (In Spanish hay bastantes metodos de discretizacion cual de ellos estas busacando? Regards (saludos) Edgar Acuna On Tue, 23 Sep 2003, Jaime Lopez Carvajal wrote: > Hi R users > > I need to apply discretizati

Re: [R] Simulating a variable following an arbitrary distribution

Hi, Use the Inverse transformation method. See any basic Cbook in simulation for instance Sheldon Ross's book. Regards, Edgar On Mon, 2 Jun 2003, Fernando Henrique Ferraz Pereira da Rosa wrote: > Hi, I'd like to know if there's anything in R that could help me do > that. Let's suppose I have