Re: [R] R-square prob is not calculated by randomization in lmPerm::lmp

For a linear model without an intercept term as in this example, neither the usual permutation scheme for testing Ho: B1 = 0 nor usual definition of R-squared apply. So you need to check what the developer of this code chose to do. If I'm recalling correctly, in a linear model with an intercept t

Re: [R] R-square prob is not calculated by randomization in lmPerm::lmp

That is contributed code. It could do anything the author felt like. I recommend reading the source code. -- Sent from my phone. Please excuse my brevity. On September 5, 2016 11:52:15 PM PDT, Agustin Lobo wrote: >Any reason why the R-square prob is not calculated by randomization in >lmPerm::

[R] R-square prob is not calculated by randomization in lmPerm::lmp

Any reason why the R-square prob is not calculated by randomization in lmPerm::lmp? The help pages states "Either permutation test p-values or the usual F-test p-values will be output", but I always get the F test for R-square as with lm(): require(lmPerm) x <- 1:1000 set.seed(1000) y1 <- x*2+runi