Maybe it was caused by your modeling binary variable using lm rather than glm.
Weidong Gu On Wed, Oct 12, 2011 at 9:59 AM, anamiguita <anamigu...@gmail.com> wrote: > Hey, > > I need some help. > > I want to obtain a cross validation for a regression model (binary response) > but I got an error with CVbinary. Well I did this: > > > fit <- lm(resp ~ PC1 + PC2 + PC3 + PC4 + PC5 + PC6 + PC7 + PC8 + > PC9+PC10+PC11+PC12+PC13+PC14+PC15+PC16+PC17+PC18+PC19+PC20+PC21+PC22+PC23+PC24+PC25+PC26+PC27+PC28, > data = dexp.cp, family=binomial()) > > CVbinary(fit) > Error in sample(nfolds, m, replace = TRUE) : invalid 'size' argument > > I cannot understand this error, I was googling it, but i didn't find nothing > really helpfull. Can someone help with is?...It's really important. > > Thank you for your time, > > Ana Rita > > -- > View this message in context: > http://r.789695.n4.nabble.com/CVbinary-Help-tp3898065p3898065.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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-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.
