Well,
I may have gotten your question over-simplified, but, isn't it the F in
your table (*in bold*)?
Df Deviance Resid. Df Resid. Dev*F*Pr(F)
NULL 26 3204.6
Sex 2 6.8924 3197.7 *2.2640* 0.1851036
Time153.9623 3143.8 *35.4513* 0.0010042 **
Behaviour 4 2356.3619 787.4 *387.0562 *2.295e-07 ***
Sex:Time282.4917 704.9 *27.0991* 0.0009902 ***
Sex:Behaviour 794.4210 610.5 * 8.8621* 0.0083508 **
Time:Behaviour 4 601.27 69.3 *98.7648* 1.324e-05 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
==
Dr. Ricardo Ribeiro de Castro Solar (Curriculum Vitœ
http://lattes.cnpq.br/9924177207371692)
Pesquisador Associado (PNPD - Capes)
Programa de Pós-Graduação em Ciências Biológicas
Visit my blog! http://photographyandconservation.wordpress.com/ / Rede
Amazônia Sustentável http://www.redeamazoniasustentavel.org
Skype: rrsolar
Universidade Estadual de Montes Claros - MG
==
On 15 September 2014 15:53, Luis Fernando García luysgar...@gmail.com
wrote:
Hello,
I am new using the R software and I am a little concerned about an
apparently easy procedure which is done in R. When I perform a GLM
analysis, I usually get the deviance, df and p values. Nevertheless, for
publishing, reviewers require the F value. Although I have looked in
several sources I have nott been able to find it, so I wanted to know if
any of you knows how to find the exact f value using the deviance, df or p
value.
Any help will be welcome and this is an example of what I get.
Thanks in advance
Analysis of Deviance Table
Model: quasipoisson, link: log
Response: Count
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. DevFPr(F)
NULL 26 3204.6
Sex 2 6.8924 3197.7 2.2640 0.1851036
Time153.9623 3143.8 35.4513 0.0010042 **
Behaviour 4 2356.3619 787.4 387.0562 2.295e-07 ***
Sex:Time282.4917 704.9 27.0991 0.0009902 ***
Sex:Behaviour 794.4210 610.5 8.8621 0.0083508 **
Time:Behaviour 4 601.27 69.3 98.7648 1.324e-05 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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