Dieter Menne wrote:
>
>
>
> David Winsemius wrote:
>>
>>
>> On Jun 23, 2009, at 3:08 AM, Chris Friedl wrote:
>> The point is that in very few applications can one legitimately
>> "exclude" an intercept. In this situation (stepwise regression) I am
>> able to think of a way to make the i
David Winsemius wrote:
>
>
> OK, this is on your head. Make sure you know how not to burn yourself
> with this:
>
> > model <- y ~ x1*x2 + one -1
> > data2$one <- 1
> > by(data2, data2$grp, function(x) step(lm(model, data=x)))
>
> Lets the intercept just be another variable.
>
>
> Dav
David Winsemius wrote:
>
>
> On Jun 23, 2009, at 3:08 AM, Chris Friedl wrote:
> The point is that in very few applications can one legitimately
> "exclude" an intercept. In this situation (stepwise regression) I am
> able to think of a way to make the intercept just another covariate,
>
On Jun 23, 2009, at 3:08 AM, Chris Friedl wrote:
I appreciate that you are trying to help me but I don't fully
understand your
point.
The point is that in very few applications can one legitimately
"exclude" an intercept. In this situation (stepwise regression) I am
able to think of a
I appreciate that you are trying to help me but I don't fully understand your
point. At one point I did say "... the intercept is not significantly
different from zero". I admit I also said "dropping the intercept term"
which in my loose application of terminology means force the intercept to a
va
I think you should explain (to yourself primarily) what it means to
have a non-significant intercept. If you can justify on a theoretic
basis the exclusion of an intercept, then you may get more assistance.
However, if you are just naively questing after some mythical concept
of "significan
I posted this question way down at teh end of another thread realted to an
error in step, but that was stupid since it really is another matter
altogether. I should have posted it separately, as I have now done.
The code below creates a data.frame comprising three marginally noisy
surfaces. The c
7 matches
Mail list logo