[R] cross validation

[Dimitris Rizopoulos]

you could something like this (based on V&R's S Programming, pp. 175):

dat <- data.frame(matrix(rnorm(100*6), 100, 6))
#####
n <- nrow(dat)
V <- 10 # number of folds
samps <- sample(rep(1:V, length=n), n, replace=FALSE)
#####
# Using the first fold:
train <- dat[samps!=1,] # fit the model
test <- dat[samps==1,] # predict


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.ac.be/biostat
     http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "kolluru ramesh" <ramesh_k77 at yahoo.com>
To: "Rpackage help" <r-help at stat.math.ethz.ch>
Sent: Friday, January 21, 2005 11:19 AM
Subject: [R] cross validation


> How to select training data set and test data set from the original 
> data for performing cross-validation
>
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