Hello, all,
I have a fairly complicated experimental design and would really appreciate
some help on correctly specifying my random effects. I have a CRD split plot
design with one covariate measured on the whole plot unit, one on the subplot
unit and 2 other covariates measured on the subsam
-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Ben Bolker
Sent: Thursday, October 07, 2010 12:04 PM
To: r-h...@stat.math.ethz.ch
Subject: Re: [R] How do I set the dispersion parameter in poisson glm?
Huso, Manuela oregonstate.edu> writes:
>
> Thank you so much for your
rdson Hall
Department of Forest Ecosystems and Society
Oregon State University
Corvallis, OR 97331
ph: 541-737-6232
fx: 541-737-1393
-Original Message-
From: Achim Zeileis [mailto:achim.zeil...@uibk.ac.at]
Sent: Thursday, October 07, 2010 9:48 AM
To: Huso, Manuela
Cc: r-help@r-project.org
Dear R users,
I would like to fit a glm with Poisson distribution and log link with a known
dispersion parameter. I do not want to estimate the dispersion parameter. I
know what it is, so I simply want to fix it at a constant for this and other
models to follow. My simple, no covariate model
I would like to fit a glm with Poisson distribution and log link with a known
dispersion parameter. I do not want to estimate the dispersion parameter. I
know what it is, so I simply want to fix it at a constant for this and other
models to follow. My simple, no covariate model is:
Tall.glm<
Using Ted Harding's example:
news1o <- runif(100)
s2o<- runif(100)
pt1 <- proc.time()
s <- numeric(length(news1o))-1 # Set all of s to -1
s[news1o>s2o] <-1# Change to 1 only those values of s
# for which news1o>s2o
pt2<-
onses are below:
-Original Message-
From: Charles C. Berry [mailto:cbe...@tajo.ucsd.edu]
Sent: Thursday, July 01, 2010 9:30 AM
To: Huso, Manuela
Cc: 'r-help@r-project.org'
Subject: Re: [R] parameterization of glm nested design
On Wed, 30 Jun 2010, Huso, Manuela wrote:
> Dear
Dear R community,
I am new to R, a reforming SAS user :) I am running R 2.10.1 on a Windows XP
machine. I would like to write linear functions of my coefficient parameter
estimates from a glm, but am having a difficult time understanding the
parameterization R uses. In the toy example belo
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