Hi, I do not use R lenguage for programming, hence Im trying to understand how are specified the models below. I been reading some webpages with information about the notation in the "lm" function, but havent understand exactly what does the ":" do. Can some one give me an explenation of the models below so I can replicate the results in other program. #common intercept mod2<-lm(TS~log(BodyWt)+log(BodyWt):factor(D),data=sleep2) #paralell lines mod3<-lm(TS~factor(D)+log(BodyWt)-1,data=sleep2) #general mod4<-lm(TS~factor(D)+log(BodyWt):factor(D)-1,data=sleep2)
TS is the dependent variable, log(bodyWt) is a covariate and D is either 1 or 2, depending in the case. Thanks -- View this message in context: http://www.nabble.com/lm-function-tp21816422p21816422.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.
