>>num <- colSums(predict(object, type="working", model="CCA")^2)
>> den <- colSums(predict(object, type="working", model="CA")^2)
>>(num/df1)/(den/df2)
>> }
>>
>> HTH, Jari Oksanen
>> ___
object$CA$Xbar) - df1 - 1
>> num <- colSums(predict(object, type="working", model="CCA")^2)
>> den <- colSums(predict(object, type="working", model="CA")^2)
>> (num/df1)/(den/df2)
>> }
>>
>> HTH, Jari Oksanen
&g
Sums(predict(object, type="working", model="CCA")^2)
> den <- colSums(predict(object, type="working", model="CA")^2)
> (num/df1)/(den/df2)
>}
>
>HTH, Jari Oksanen
>
>From: r-sig-ecology-boun...@r
quot;, model="CA")^2)
(num/df1)/(den/df2)
}
HTH, Jari Oksanen
From: r-sig-ecology-boun...@r-project.org [r-sig-ecology-boun...@r-project.org]
on behalf of Steve Brewer [jbre...@olemiss.edu]
Sent: 29 November 2012 16:42
To: r-sig-ecology@r-projec
Dear Colleagues,
I'm wondering if anyone in this group has developed code for doing a sumF
test for examining community responses in an experiment. For those not
familiar, sumF is a simple univariate alternative to MANOVA and perMANOVA,
wherein univariate ANOVAs and their associated F statistics a
