On Wed, Mar 16, 2011 at 3:18 AM, agent dunham wrote:
> Does it mean that regsubsets doesn't work with categorical variables?
No.
> It's because I'm trying the following and I don't know what happens. Any
> help would be appreciated.
>
> varin <- data.frame(v1,v2,...,v7, factor1,..., factor4)
>
>
Does it mean that regsubsets doesn't work with categorical variables?
It's because I'm trying the following and I don't know what happens. Any
help would be appreciated.
varin <- data.frame(v1,v2,...,v7, factor1,..., factor4)
Dependent variable: height
Then:
eu.subsets <- regsubsets(varinc ,
On Fri, 13 Mar 2009, Tal Galili wrote:
Thanks Thomas.
Assuming I want to change the "k" factor (used in AIC type procedures), is
there a way to do that ?
There is no "k" factor in the leaps algorithm. It always reports the best
model with one predictor, the best model with two predictors, th
Thanks Thomas.
Assuming I want to change the "k" factor (used in AIC type procedures), is
there a way to do that ?
Also - is there a way to force the model to make only one "step" in the
creation of the model ?
(My aim is to be able to create an adaptive procedure, and I am looking for
a way of doi
If you run the example from ?biglm
data(trees)
ff<-log(Volume)~log(Girth)+log(Height)
chunk1<-trees[1:10,]
chunk2<-trees[11:20,]
chunk3<-trees[21:31,]
a <- biglm(ff,chunk1)
a <- update(a,chunk2)
a <- update(a,chunk3)
summary(a)
you can then do
b <-regsubsets(a, method="forward")
summary(b)
to
Hello dear R-help members,
I recently became interested in using biglm with leaps, and found myself
somewhat confused as to how to use the two together, in different settings.
I couldn't find any example codes for the leaps() package (except for in the
help file, and the examples there are not as
Hello dear R-help members,
I recently became interested in using biglm with leaps, and found myself
somewhat confused as to how to use the two together, in different settings.
I couldn't find any example codes for the leaps() package (except for in the
help file, and the examples there are not as
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