Petr Pikal petr.pi...@precheza.cz 724008364, 581252140, 581252257
r-help-boun...@r-project.org napsal dne 24.02.2009 11:46:07: > > Hi, > > 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, Without going too much into details, there is nothing wrong in log inside formula try summary(glm(lot1 ~ log(u), data=clotting, family=Gamma)) summary(glm(log(lot1) ~ log(u), data=clotting, family=Gamma)) > then it works. The syntax is: > > weight<-log(weight) > posJy.model<-glm(weight ~ factor(pos), family=gaussian(link='identity'), > subset=Soil=="Jy") > > > What is wrong with the first syntax. AFAIK, nothing Regards Petr I have seen many scripts that the R > users have applied any function (log, -, ...) directly inside the > formulation. > > It will help me to understand the grammar of R. > > Thank you. > Saeed > > > > > -- > View this message in context: http://www.nabble.com/Syntax-in-taking-log-to- > transfrom-the-data-to-fit-Gaussian-distribution-tp22179656p22179656.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
