Dear list, I would like to easily compute the adjusted R-square in a lm model without intercept (excluding the intercept is essential for my analysis)
I found that RsquareAdj() in vegan returns NA if the argument is a multiple-multivariate lm model thus including multivariate responses and multiple predictors, while it works for univariate response and multiple predictors. For example: library(vegan) yy<-matrix(rnorm(200,0,1),ncol=4) xx<-matrix(rnorm(200,0,1),ncol=4) RsquareAdj(lm(yy~xx-1)) RsquareAdj(lm(yy[,1]~xx-1)) There some specific reason for this behavior? Thanks in advance for any advice best regards Poalo _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
