[R] Cross validation in R

Guys, I select 70% of my data and keep 30% of it for model validation. mydata - read.csv(file.choose(), header=TRUE) select - sample(nrow(mydata), nrow(mydata) * .7) data70 - mydata[select,] # select data30 - mydata[-select,] # testing temp.glm - glm(Death~Temperature, data=data70,

Re: [R] Cross validation in R

This code is untested, since you did not provide any example data. But it may help you get started. Jean mydata - read.csv(file.choose(), header=TRUE) library(ROCR) # ROC curve and assessment of my prediction plot(0:1, 0:1, type=n, xlab=False positive rate, ylab=True positive rate) abline(0,

Re: [R] Cross validation in R

How do i make a loop so that the process could be repeated several time, producing randomly ROC curve and under ROC values? Using the caret package http://caret.r-forge.r-project.org/ -- Max __ R-help@r-project.org mailing list

Re: [R] Cross-validation in R

1) cv.glm is not 'in R', it is part of contributed package 'boot'. Please give credit where it is due. 2) There is nothing 'cross' about your 'home-made cross validation'. cv.glm is support software for a book, so please consult it for the definition used of cross-validation, or MASS (the

[R] Cross-validation in R

Folks; I am having a problem with the cv.glm and would appreciate someone shedding some light here. It seems obvious but I cannot get it. I did read the manual, but I could not get more insight. This is a database containing 3363 records and I am trying a cross-validation to understand the