Hi Richard, First thank you for your attention. Actually the way it approached the examples of statements do not like a lot, because the calculations are done separately for each factor of interest to the interaction. Why will not it pleases me so much? Tukey's tests as for example using the mean square error (MSE) for the calculation of minimum significant differences (MSD). When the analysis is done separately, the contrasts are made with the new model, rather than the original model which contained the interactions. Thus the contrasts are different, since they use different MSE. What is your opinion?
M.Sc Ivan Bezerra Allaman Zootecnista Doutorando em Produção Animal/Aquicultura - UFLA email e msn - ivanala...@yahoo.com.br Tel: (35)3826-6608/9925-6428 ________________________________ De: Richard M. Heiberger [via R] <ml-node+2236373-99253941-109...@n4.nabble.com> Enviadas: Domingo, 30 de Maio de 2010 13:09:37 Assunto: Re: How to use the function "glht" of multcomp package to test interaction? Usually you will want to look at simple effects of the factors when there is interaction. Please look at the WoodEnergy demos in the HH package. These examples use glht. install.packages("HH") ## if you don't currently have HH library(HH) demo("MMC.WoodEnergy-aov") demo("MMC.WoodEnergy") Rich [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ________________________________ View message @ http://r.789695.n4.nabble.com/How-to-use-the-function-glht-of-multcomp-package-to-test-interaction-tp2236315p2236373.html To unsubscribe from How to use the function "glht" of multcomp package to test interaction?, click here. -- View this message in context: http://r.789695.n4.nabble.com/How-to-use-the-function-glht-of-multcomp-package-to-test-interaction-tp2236315p2236706.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]
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