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Hi, I have a basic and simple question on how to code pairwise (multiple) mean compariosn between levels of a factor using one of the Duncan, Tukey or LSD. Thanks in advance, Saeed -- View this message in context: http://www...
Hi, I have a dataset. First of all, I know that my dataset shall follow the Poission distribution. Now I have two questions: 1) How can I check that my data follow the Poisson distribution? 2) How can I calculate...
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...
Hi, Thank you for the reply and suggestions. I have two questions? 1) If I want to use log, it seems that I have to take log from both sides of the model which will lead to lm(log(q...
Hi I have a data set with two variables "q" and "depth" as follows: q<-c(tapply(weight[Soil=="Jy"], Depth[Soil=="Jy"], mean)). This commns returns 7 "q" values: 0.687900000 0.845550000 0.405416667 0.152766667 0.033100000...
Hi Peter, You are totally right and it was a miscalculating and misunderstanding from me. Regarding the R-squared calculation of non linear model (question 2), is there any way to do that? Regards Saeed Petr Pikal wrote: > > Hi > > r...
In order ot see if any of these syntaxes work or not, I made the QQ plot. Attached files are showing the QQ plots made when log was inside the model formulation and outside teh model formulation. You can see...
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