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
From: r-sig-ecology-boun...@r-project.org [r-sig-ecology-boun...@r-project.org]
on behalf of Paolo Piras [paolo.pi...@uniroma3.it]
Sent: 03 October 2013 14:59
To: r-sig-ecology@r-project.org
Subject: [R-sig-eco] vegan RsquareAdj() for lm models
Dear list,
I would like to easily compute the adjusted
...@oulu.fi
Inviato: giovedì 3 ottobre 2013 14.25
A: Paolo Piras; r-sig-ecology@r-project.org
Oggetto: RE: [R-sig-eco] vegan RsquareAdj() for lm models
Specific reason is that nobody has implemented this. These things don't come by
automatic writing, but somebody must do them.
What would you expect
Subject: RE: [R-sig-eco] vegan RsquareAdj() for lm models
Thankyou very much Jari!
I think that it is nearly ok
what I would like to have is the same as in
RsquareAdj(vegan::rda(yy,xx))
that is a GLOBAL measure of the association
BUT...I want it for a multiple-multivariate lm model that does
Piras; r-sig-ecology@r-project.org
Oggetto: RE: [R-sig-eco] vegan RsquareAdj() for lm models
Paolo,
See ?RsquareAdj for the call interface. The default method can be called as
RsquareAdj(x, n, m), and in the default method x is the unadjusted correlation,
n is the number of observations and m
