?? z <- manova(y~x) summary(z) ?summary.manova Bert Gunter Genentech Nonclinical Statistics
-----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Manabu Sakamoto Sent: Tuesday, February 23, 2010 4:39 AM To: r-help@r-project.org Subject: [R] how to assess the significance of regression between a set of response and predictor variables Dear list, I have been using multivariate multiple regression (MMR) in the form lm(Y~X) where Y and X are matrices of response and predictor variables. I know that summary(mlm.object) would give the usual lm statistics for each response variable separately and that anova.mlm(mlm.object) will give the analysis of variance table of the mlm object. However, anova.mlm (also manova(mlm.object)) presents the significances of each predictor variable as an anova table, but I want to see the overall significance of the regression of the two sets of variables (Y and X). Could anyone kindly teach me how I can accomplish that? Manabu -- -------------------------------------- M. Sakamoto, PhD Department of Earth Sciences, University of Bristol, Wills Memorial Building, Queen's Road, Bristol BS8 1RJ, UK m.sakam...@bristol.ac.uk ______________________________________________ R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
