Message-ID: <ACD1644AA6C67E4FBD0C350625508EC836739AD9@FHSDB4H16-2.csu.mcmaster.ca>
Date: 2017-12-20T14:43:40Z
From: John Fox
Subject: Significance of fixed factors using glmer
In-Reply-To: <9191_1513780495_vBKEYtCT023959_003301d3797a$33014a90$9903dfb0$@gmail.com>
Dear Silvia,
Both lmerTest::anova() and car::Anova() print p-values, so you'll have to provide more information -- ideally a reproducible example demonstrating the problem, or at least the problematic output with p-values absent.
Best,
John
-----------------------------
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web: socialsciences.mcmaster.ca/jfox/
> -----Original Message-----
> From: R-sig-mixed-models [mailto:r-sig-mixed-models-bounces at r-project.org]
> On Behalf Of Silvia Matesanz Garc?a
> Sent: Wednesday, December 20, 2017 5:06 AM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] Significance of fixed factors using glmer
>
> Hi all
>
> I m fitting a model where the response variable is Flowering (0, the plant didn t
> flower; 1, the plant did flower). I m using glmer with a binomial distribution. I
> m trying to obtain the significance of fixed factors. I ve tried lmerTest:anova
> and car:Anova but neither seem to provide p-values.
>
> Is there a way to do this?
>
>
>
> Thanks!
>
>
>
> ----------------------------------------------------------------------------
> -------
>
> Dra. Silvia Matesanz
>
> Investigadora Ram n y Cajal.
>
> rea de Biodiversidad y Conservaci n.
>
> Universidad Rey Juan Carlos
>
> <http://silviamatesanzgarc.wix.com/silviamatesanz>
> http://silviamatesanzgarc.wix.com/silviamatesanz
>
> <https://scholar.google.es/citations?user=6xRDyPAAAAAJ&hl=es>
> https://scholar.google.es/citations?user=6xRDyPAAAAAJ&hl=es
>
>
>
>
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