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
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
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 wi
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 distribu
"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 te
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 stand
