What do you want to test?
To test H0: Y is independent of all X's,
you can permute Y.
To test H0: a particular X does not contribute to predicting Y, conditional
on the other X's
you have to be careful. If you permute that X, the size is wrong; the
type I error can be nearly 50%, beca
"anders superanders" <[EMAIL PROTECTED]> writes:
> Hi I was wondering if there is a permutation test available in R for linear
> models with continuous dependent covariates. I want to do a test like the
> one shown here.
>
> bmi<-rnorm(100,25)
> x<-c(rep(0,75),rep(1,25))
> y<-rnorm(100)+bmi^(1/
Hi I was wondering if there is a permutation test available in R for linear
models with continuous dependent covariates. I want to do a test like the
one shown here.
bmi<-rnorm(100,25)
x<-c(rep(0,75),rep(1,25))
y<-rnorm(100)+bmi^(1/2)+rnorm(100,2)*x+bmi*x
H0<-lm(y~1+x+bmi)
H1<-lm(y~1+x+bmi+x*bm
