The reason that you are not likely getting replies is that what you propose to
do is considered a poor way of building models.
You need to get out of the "SAS Mindset".
I would suggest you obtain a copy of Frank Harrell's book:
http://www.amazon.com/exec/obidos/ASIN/0387952322/
and then con
You mean the glm() _function_ in the stats package.
?glm
(just to avoid confusion)
-- Bert
On Wed, Oct 26, 2011 at 10:31 AM, wrote:
> Try the glm package
>
> Steve Friedman Ph. D.
> Ecologist / Spatial Statistical Analyst
> Everglades and Dry Tortugas National Park
> 950 N Krome Ave (3rd Fl
Check glmulti package for all subset selection.
Weidong Gu
On Wed, Oct 26, 2011 at 12:35 PM, RAJ wrote:
> Can I atleast get help with what pacakge to use for logistic
> regression with all possible models and do prediction. I know i can
> use regsubsets but i am not sure if it has any prediction
Hi,
On Wed, Oct 26, 2011 at 12:35 PM, RAJ wrote:
> Can I atleast get help with what pacakge to use for logistic
> regression with all possible models and do prediction. I know i can
> use regsubsets but i am not sure if it has any prediction functions to
> go with it.
Maybe you could try glmnet
Try the glm package
Steve Friedman Ph. D.
Ecologist / Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034
steve_fried...@nps.gov
Office (305) 224 - 4282
Fax (305) 224 - 4147
__
Can I atleast get help with what pacakge to use for logistic
regression with all possible models and do prediction. I know i can
use regsubsets but i am not sure if it has any prediction functions to
go with it.
Thanks
On Oct 25, 6:54 pm, RAJ wrote:
> Hello,
>
> I am pretty new to R, I have alwa
Hello,
I am pretty new to R, I have always used SAS and SAS products. My
target variable is binary ('Y' and 'N') and i have about 14 predictor
variables. My goal is to compare different variable selection methods
like Forward, Backward, All possible subsests. I am using
misclassification rate to p
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