[R-sig-eco] vegan RsquareAdj() for lm models
Paolo Piras
paolo.piras at uniroma3.it
Thu Oct 3 13:59:15 CEST 2013
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
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