On Tue, Feb 24, 2009 at 02:46:07AM -0800, Saeed Ahmadi wrote:
> I have a data set (weight) that does not follow the Gaussian (Normal)
> distribution. However, I have to transform the data before applying the
> Gaussian distribution. I used this syntax and used log(weight) as:
> posJy.model<-glm(log(weight) ~ factor(pos),
> family=gaussian(link='identity'), subset=Soil=="Jy"). This syntax COULD NOT
> transform the data. But if I transform the data before applying the model,
> then it works. The syntax is:
>
> weight<-log(weight)
> posJy.model<-glm(weight ~ factor(pos), family=gaussian(link='identity'),
> subset=Soil=="Jy")
That should work. Maybe you should tell us what happened or why you
think it didn't work. Error messages? Unexpected results?
cu
Philipp
--
Dr. Philipp Pagel
Lehrstuhl für Genomorientierte Bioinformatik
Technische Universität München
Wissenschaftszentrum Weihenstephan
85350 Freising, Germany
http://mips.gsf.de/staff/pagel
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