Dear R-help,
I recently tried implementing glmmPQL in 2.3.1, and I discovered a
few differences as compared to 2.2.1. I am fitting a regression with
fixed and random effects with Gamma error structure. First, 2.3.1
gives different estimates than 2.2.1, and 2.3.1, takes more
iterations to con
Dear R-help,
Does anyone have a function that I could use to determine power for
testing significance of an interaction term in a 2-way ANOVA. The
model I am considering has 2 levels in each factor. I would like to
be able to input sample size (equal in all groups), MSE, means for
the 4 gro
Dear R-help list,
Does anyone have a function that I could use to determine power for
testing significance of an interaction term in a 2-way ANOVA. The
model I am considering has 2 levels in each factor. I would like to
be able to input sample size (equal in all groups), MSE, means for
the 4
ce now recently and it is incredibly
helpful and fast. Thanks again. It is much appreciated.
cc Dirk
Best,
Justin
At 03:43 AM 9/4/2005, Peter Dalgaard wrote:
>Dirk Eddelbuettel <[EMAIL PROTECTED]> writes:
>
> > On 3 September 2005 at 17:59, Justin Rhodes wrote:
> >
Dear R-help,
Can someone please help me discover what function or code will give
me a p-value from the input: 1) R-square statistic from a simple
linear regression, and 2) sample size, n
This would be greatly appreciated. I need this because I am using a
database that gives me R-square and sa
something like:
results<-numeric(24)
for (i in 1:24)
{
p<-scan("ai.txt") # where the i is an index for each of the 24 files
results[i]<-mean(p)
}
Thanks for any help,
Justin Rhodes
Behavioral Neuroscience
Oregon Health & Science University
VA Medical Center (R &
p. I really appreciate it. I have wasted too much
time trying to figure this out on my own.
par(xaxp=c(0,240,8))
par(mar=c(13,1,13,1))
plot(p,q, pch="|", yaxt="n", main=subject,xlab="Minutes", ylab="")
Take care,
Justin Rhodes
Behavioral Neuroscience
