Dear all
I am trying to create a list of all objects created over the course of a
function. To wit:
foo <- function(x){
first <- x*(1:8)
second <- matrix(x*(1:16), ncol = 4)
third <- 1:x
list(x=x, first=first, second=second, third=third)
}
foo(5)
No worries there. However,
nd a given
> effect tested on p response measures
>
> eta2(Pillai) = Pillai / s
> eta2(HLT) = HLT / (HLT+s)
> where s = min(df_h, p)
>
> Alternatively, you could look at the candisc package which, for an
> s-dimensional effect, gives a breakdown of the variance reflecte
Hello everybody
After doing a MANOVA on a bunch of data, I want to be able to make some comment
on the amount of variation in the data that is explained by the factor of
interest. I want to say this in the following way: XX% of the data is explained
by A.
I can acheive something like wh
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