Hi Michael,
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Michael
> Friendly
> Sent: Thursday, June 29, 2017 9:04 AM
> To: Benoît PELE ; r-help@r-project.org
> Subject: Re: [R] Help : glm p-values for a factor predictor
>
On 6/29/17 11:13 AM, Benoît PELE wrote:
My question is about the factor predictors with several levels. R provides
only the pvalues for each level whereas i need an overall pvalue for
testing the predictor.
What you ask is provided by anova() -- type I tests, and car::Anova() --
Type II & III
_ctrl_siren_cca2017_appr)
--> The results of this glm do not provide overall pvalues for the
qualitative predictors, only one pvalue by modality. And for selecting the
qualitative predictors, i need that overall pvalue that SAS for example
provides with PROC LOGISTIC.
Benoit Pel�.
De :
It might help if you provided the code you used. It's possible that
you didn't use direction="backward" in stepAIC(). Or if you did, it
was still running, so whatever else you try will still be slow. The
statement "R provides only the pvalues for each level" is wrong: look
at the anova() function.
Hello,
i am a newby on R and i am trying to make a backward selection on a
binomial-logit glm on a large dataset (69000 lines for 145 predictors).
After 3 days working, the stepAIC function did not terminate. I do not
know if that is normal but i would like to try computing a "homemade"
back
After scrupulous textual analysis, I conclude that you have at least
one NA/NaN/Inf in b$induction. There is also a hint that you should
acquaint yourself with family="binomial".
Sherlock
On Tue, Jan 31, 2017 at 11:18 AM, CHIRIBOGA Xavier
wrote:
> Dear colleagues,
>
>
> I am trying to perform GL
Dear colleagues,
I am trying to perform GLM but I got the following message.
m2<-glm(induction~time+plant,data=b)
Error in glm.fit(x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, :
NA/NaN/Inf in 'y'
Adem�s: Warning messages:
1: In Ops.factor(y, mu) : '-' not meaningful for factors
2:
7 matches
Mail list logo
