7190
> Time 7.5390634 6.1271204 1.2304415 0.3062126
> pred2 -0.1096744 0.1148654 -0.9548081 0.4101142
>
>
>> -Original Message-
>> From: [EMAIL PROTECTED]
>> [mailto:[EMAIL PROTECTED] On Behalf Of Sandy Weisberg
>> Sent: Wednesday, Octobe
See:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/67474.html
and also the other posts in that thread.
On 10/24/07, Sandy Weisberg <[EMAIL PROTECTED]> wrote:
> I would like to write a function that computes Tukey's 1 df for
> nonadditivity. Here is a simplified version of the function I'd lik
6
pred2 -0.1096744 0.1148654 -0.9548081 0.4101142
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Sandy Weisberg
> Sent: Wednesday, October 24, 2007 3:44 PM
> To: [EMAIL PROTECTED]
> Subject: [R] scoping problem
>
> I would
On 10/24/2007 3:43 PM, Sandy Weisberg wrote:
> I would like to write a function that computes Tukey's 1 df for
> nonadditivity. Here is a simplified version of the function I'd like to
> write: (m is an object created by lm):
>
> tukey.test <- function(m) {
> m1 <- update(m, ~.+I(predict(m)^
I would like to write a function that computes Tukey's 1 df for
nonadditivity. Here is a simplified version of the function I'd like to
write: (m is an object created by lm):
tukey.test <- function(m) {
m1 <- update(m, ~.+I(predict(m)^2))
summary(m1)$coef
}
The t-test for the added vari
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