Displaying 1 result from an estimated 1 matches for "x15std".
2011 Mar 25
2
A question on glmnet analysis
...here to help me.
First of all, I standardized all 6 continuous variables by scale() with
center=TRUE and scale=TRUE option. Nine categorical variables and one
outcome variable were re-coded as 0 or 1. Then, I used glmnet with
standardize=FALSE option because of presence of categorical variables.
x15std <- matrix(c(x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15),
104, 15)
y <- outcome
library(glmnet)
fit.1 <- glmnet(x15std, y, family="binomial", standardize=FALSE)
fit.1cv <- cv.glmnet(x15std, y, family="binomial", standardize=FALSE)
default alpha=1, so this sho...