Replicating type III anova tests for glmer/GLMM
And don't forget car::contr.Sum(), which is just the same as contr.sum from base R but provides saner contrast names ...
On 16-02-23 08:30 AM, Fox, John wrote:
Dear Francesco, The Anova() function in the car package might do what you want. See ?Anova. "Effect coding" in R is implemented by contr.sum(). I hope this helps, John ----------------------------- John Fox, Professor McMaster University Hamilton, Ontario Canada L8S 4M4 web: socserv.mcmaster.ca/jfox
________________________________________ From: R-sig-mixed-models [r-sig-mixed-models-bounces at r-project.org] on behalf of Francesco Romano [francescobryanromano at gmail.com] Sent: February 22, 2016 8:12 PM To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] Replicating type III anova tests for glmer/GLMM Dear all, I'm trying to report my analysis replicating the method in the following papers: Cai, Pickering, and Branigan (2012). Mapping concepts to syntax: Evidence from structural priming in Mandarin Chinese. Journal of Memory and Language 66 (2012) 833?849. (looking at pg. 842, "Combined analysis of Experiments 1 and 2" section) Filiaci, Sorace, and Carreiras (2013). Anaphoric biases of null and overt subjects in Italian and Spanish: a cross-linguistic comparison. Language, Cognition, and Neuroscience DOI:10.1080/01690965.2013.801502 (looking at pg.11, first two paragraphs) This is because I have a glmer model with three fixed effects, two random intercepts modeling a binary outcome, exactly as in the articles mentioned. The difficulty I'm finding is with locating information on commands generating coefficients, SE, z, and p values (e.g. maximum likelihood (Laplace Approximation)) to report main effects and interactions with the anova or afex:mixed commands, following application of effect coding. I have looked in several places, including Ben Bolker's FAQ http://glmm.wikidot.com/faq and past posts on the topic in this r-sig. Although there appears to be a plethora of material for lmer, I can't seem to locate anything in the right direction for glmer. Many thanks for any help. -- Frank Romano Ph.D. *LinkedIn* https://it.linkedin.com/pub/francesco-bryan-romano/33/1/162 *Academia.edu* https://sheffield.academia.edu/FrancescoRomano [[alternative HTML version deleted]] _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models