[R] Help : glm p-values for a factor predictor
benoit.pele at acoss.fr
Thu Jun 29 15:00:18 CEST 2017
Thank you for your answer.
The used code is the next one :
--> The predictors between quotes (excepted y) are qualitative ; others
are groups of continuous predictors
Var_model<-paste0("y ~ ", paste(champ_model_cont[-1],collapse=" + "))
--> 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.
De : "Bob O'Hara" <rni.boh at gmail.com>
A : Benoît PELE <benoit.pele at acoss.fr>,
Cc : r-help <r-help at r-project.org>
Date : 29/06/2017 11:46
Objet : Re: [R] Help : glm p-values for a factor predictor
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.
On 29 June 2017 at 11:13, Benoît PELE <benoit.pele at acoss.fr> wrote:
> 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"
> backward with a repeated glm ; at each step, the predictor with the max
> pvalue would be excluded until reaching a set of 20 predictors for
> My question is about the factor predictors with several levels. R
> only the pvalues for each level whereas i need an overall pvalue for
> testing the predictor.
> On internet, the only solution i found suggests to compute a Khi2
> log-likelihood test between the complete model and the model without the
> factor predictor to emphasize its relevance.
> Do you know other ways? Another R package managing this kind of issue?
> Thank you and best regards, Benoit.
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