Dear Sergio, You appear to have asked this question twice on r-help.
Anova() has no specific method for “gls” models (I assume, though you don’t say so, that the model is fit by gls() in the nlme package), but the default method works and provides Wald chi-square tests for terms in the model. I don’t understand the model formula x ~ 1 + 2 + 3 + x, however, and so I have no idea what gls() would do with this model, other than report an error. Perhaps you can show us the output — or, better yet, provide a reproducible example. As a general matter, for 1-df terms in an additive model, the 1-df chi-square values reported by Anova() will simply be the squares of the corresponding Wald statistics (labelled “t” I believe) reported in the summary of the model. Although the p-value is from the upper tail of the chi-square distribution, the test is inherently two-sided. Best, John ------------------------------------------------- John Fox, Professor McMaster University Hamilton, Ontario, Canada Web: http::/socserv.mcmaster.ca/jfox > On Jan 20, 2017, at 8:36 AM, Sergio Ferreira Cardoso > <sergio.ferreira-card...@umontpellier.fr> wrote: > > Dear all, > > Anova() for .car package retrieves Chi-square statistics when I'm testing a > model the significance of a multivariate .gls model > gls(x~1+2+3+x,corBrownian(phy=tree), ...). > Is this Chi-square a two-sided test? > > Thank you. > > Best, > Sérgio. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
