Dear R users, if all my numerical variables in my datasets having the same units, may I leave them unnormalized, just do cv.glmnet directly(cv.glmnet(data,standardize=FALSE))? i know normally if there is a mixture of numerical and categorical , one has to standardize the numerical part before applying cv.glmnet with standardize=fase, but that's due to the different units in the numerical part, right? so if all the units are the same, could I skip the pre standardize part?
I tried both ways(standardize the numerical part and not standardize numerical part), the results are very similar, what I don't understand is for the coefficients of categorical variables, why they are so different in two cases? Many thanks Yan -- View this message in context: http://r.789695.n4.nabble.com/using-glmnet-for-the-dataset-with-numerical-and-categorical-tp4636279.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.
