[R] - help - predicting with glmnet/lars for dataframes with different nrow then the train set

hadley wickham h.wickham at gmail.com
Tue Mar 17 03:56:37 CET 2009


On Mon, Mar 16, 2009 at 7:21 PM, eitan lavi <lavi.eitan at gmail.com> wrote:
> Hello
>
> I'm having trouble using lars and glmnet functions to predict on a new data
> set with different nrow then the original :
>
>
> for instance:
> =============
>    log.1 = glm(temp.data$TL~(.),temp.data,family = binomial,x=TRUE,y=TRUE)

I don't know if this is the problem or not (you didn't supply a
reproducible example), but I'd expect your call to be:

log.1 <- glm(TL ~ ., data = temp.data , family = binomial , x = TRUE,  y = TRUE)

i.e. when you supply a data frame you don't explicitly use it in the formula.

Hadley

-- 
http://had.co.nz/




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