Hello all:
Thank you for you interest.
This text of this email is in the attached R-help.r file.
The R script is in R-helpscript.r.
The data set is wk6trial.csv.
One of my students has performed a laboratory experiment with petri
dishes containing hundreds of species of bacteria, and six
Martin Henry H. Stevens wrote:
Hello all:
I frequently have glm models in which the residual variance is much
lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF
= 82). Is it appropriate for me to use a quasipoisson error
distribution and test it with an F
On Mon, 10 Oct 2005, Martin Henry H. Stevens wrote:
Hello all:
I frequently have glm models in which the residual variance is much
lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF
= 82). Is it appropriate for me to use a quasipoisson error
distribution and test it with
On Tue, 2005-10-11 at 17:16 -0400, Kjetil Holuerson wrote:
Martin Henry H. Stevens wrote:
Hello all:
I frequently have glm models in which the residual variance is much
lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF
= 82). Is it appropriate for me to use a
Hello all:
I frequently have glm models in which the residual variance is much
lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF
= 82). Is it appropriate for me to use a quasipoisson error
distribution and test it with an F distribution? It seems to me that
I could
Martin Henry H. Stevens [EMAIL PROTECTED] writes:
Hello all:
I frequently have glm models in which the residual variance is much
lower than the residual degrees of freedom (e.g. Res.Dev=30.5, Res.DF
= 82). Is it appropriate for me to use a quasipoisson error
distribution and test it
