Hello,
I am trying to fit a nonlinear model of the form of:
A*x^b*exp(-c*x)
This represents a lactation curve. I have a bunch of cows, so I want
COW to be a random effect.
I have been trying the following code with very littel success:
> fm1 <- nlme(yield ~ A*(DIM^B)*(exp(-C*DIM)),
+
Hi folks,
I am trying to install the sna package on a MacOS X 10.3.9 and
10.3.4. In neither case I have been able to get the R CMD Install
command to succeed from the Terminal window.
With 10.3.9 I get an error with the Make command, and with 10.3.4 I
get an error on the Description(???)
Has
Hello,
I was wondering how one could obtain LSM for fixed factors in a
mixed-effect model using lme. In other words, if I have model such as:
model<-lme(yield~period+treatment+period*treatment,
data=data,random=~1|cow)
how can I get LSM for period, treatment and their interaction?
Thanks a lot!
Dear R-gurus,
I am pretty much new on R.
I am trying to to do a repeated analysis of a linear mixed model with
R, and I consistently fail...
The problem is: Cow is the random factor, treatment is the fixed
factor. The dependent variable is milk yield, which is measured several
times (repeatedly
Dear R-gurus,
I am pretty much new on R.
I am trying to to do a repeated analysis of a linear mixed model with
R, and I consistently fail...
The problem is: Cow is the random factor, treatment is the fixed
factor. The dependent variable is milk yield, which is measured several
times (repeatedly
