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, 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. 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.
