[R] Glmnet Logistic Variable Questions

[Ben Bolker]

Bert Gunter <gunter.berton <at> gene.com> writes:

> 
> If I understand you correctly, it sounds like you need to do some reading.
> 
> ?lm and ?formula tell you how to specify linear models for glm or glmnet.
> However, if you do not have sufficient statistical background, It probably
> will be incomprehensible, in which case you should consult your local
> statistician.
> 
> For glmnet, go to the linked references given in the Help file.There is no
> such thing as AIC for these models, as they are penalized fits (with users
> choosing the penalization tradeoff). Again, consult your local statistician

  Let me second Bert's concern, but in the meantime, if what you
want are *all two-way interactions among variables, you can follow
this example:

> d <- data.frame(y=runif(100),x1=runif(100),x2=runif(100),x3=runif(100))
> gg <- lm(y~(.)^2,data=d)
> names(coef(gg))
[1] "(Intercept)" "x1"          "x2"          "x3"          "x1:x2"      
[6] "x1:x3"       "x2:x3"      


 I have done the example with continuous variables and with lm() here,
but it should generalize easily to (1) a mixture of categorical and
continuous variables and (2) other R modeling functions