Jun Shen gmail.com> writes:
>
>lme(biomarker~Cmax+AGE,data=cov,method='ML',random=~1+AGE|ID,keep.data=T)
> Warning message:
> In lme.formula(biomarker ~ Cmax + AGE, data = cov, method = "ML", :
> Fewer observations than random effects in all level 1 groups
That's why the posting guide says:
Hi, Dieter,
> sessionInfo()
R version 2.9.0 (2009-04-17)
i386-pc-mingw32
> str(cov)
'data.frame': 40 obs. of 13 variables:
$ ID : int 2 3 4 5 6 7 8 9 10 11 ...
$ AMT : num 50 50 50 50 50 50 50 50 25 25 ...
$ Cmax : num [1:40(1d)] 8901 5574 10496 10882 8130 ...
..- attr(*,
Jun Shen gmail.com> writes:
> I changed the "method" to ML for my lme call. Now I get a different error
> when running the stepAIC
>
> Error in terms.formula(formula, data = data) :
> 'data' argument is of the wrong type
>
> What does that mean?
> The same dataset was used for an lm call and
Thanks a lot, Dieter,
I changed the "method" to ML for my lme call. Now I get a different error
when running the stepAIC
Error in terms.formula(formula, data = data) :
'data' argument is of the wrong type
What does that mean?
The same dataset was used for an lm call and everything is fine to r
Jun Shen gmail.com> writes:
>
> I also wonder if stepAIC can work with an lme model. I tried. it doesn't for
> now. Appreciate any comment.
>
It can do it, and it displays a nice error message, as I remember, why
it won't do it in the default setting. Check parameter method of your
lme call.
Jun Shen gmail.com> writes:
>
> I also wonder if stepAIC can work with an lme model. I tried. it doesn't for
> now. Appreciate any comment.
>
It can, and it displays a nice error message telling you exactly why it
did not work if you try out of the box. Check parameter "method" in your
lme cal
I also wonder if stepAIC can work with an lme model. I tried. it doesn't for
now. Appreciate any comment.
Jun
On Thu, May 7, 2009 at 9:15 AM, Dieter Menne
wrote:
> Peter-Heinz Fox yahoo.de> writes:
>
> > Iâm using "step" and "stepAIC" for stepwise regression. After each
> step,
> > I would li
Peter-Heinz Fox yahoo.de> writes:
> Iâm using "step" and "stepAIC" for stepwise regression. After each step,
> I would like to make an additional calculation based on the independent
> variables that have been selected until this step and
> their corresponding weights. Where do I have to add t
Hi all,
Â
Iâm using "step" and "stepAIC" for stepwise regression. After each step, I
would like to make an additional calculation based on the independent variables
that have been selected until this step and their corresponding weights. Where
do I have to add this calculation?
Â
And a secon
Prof Brian Ripley wrote:
On Sun, 12 Oct 2008, Murray Jorgensen wrote:
The birth weight example from ?stepAIC in package MASS runs well as
indeed it should.
However when I change stepAIC() calls to step() calls I get warning
messages that I don't understand, although the output is similar.
On Sun, 12 Oct 2008, Murray Jorgensen wrote:
The birth weight example from ?stepAIC in package MASS runs well as
indeed it should.
However when I change stepAIC() calls to step() calls I get warning
messages that I don't understand, although the output is similar.
Why would you do this?
War
The birth weight example from ?stepAIC in package MASS runs well as
indeed it should.
However when I change stepAIC() calls to step() calls I get warning
messages that I don't understand, although the output is similar.
Warning messages:
1: In model.response(m, "numeric") :
using type="numeric
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