search for: lmr0

...model (y~1), I must obtain the same results, but not for my data. Is it possible? My example: x<-c(rep(0,8),rep(1,8),rep(2,7)) y<-c(1,0.6,-0.8,0.7,1.6,-0.2,-1.2,-3.8,-1.8,-2.6,-1.7,-2.1,-0.3,-1.4,1.4,-0.3,-0.3,0.5,0.4,-0.9,-1.6,0.4,0.4) library(robust) lmR<-lmRob(y~factor(x)) anova(lmR) lmR0<-lmRob(y~1) anova(lmR,lmR0) If I run the code omitting the factor() (then treating "x" as continuous), the results are the same.. What is the explanation of these different results? Thanks in advance! Massimo Massimo FenatiDVM - Specialized in Animal Health and HusbandryVia Mam...

...> >>> x<-c(rep(0,8),rep(1,8),rep(2,7)) >>> >>> y<-c(1,0.6,-0.8,0.7,1.6,-0.2,-1.2,-3.8,-1.8,-2.6,-1.7,-2.1,-0.3,-1.4,1.4, -0.3,-0.3,0.5,0.4,-0.9,-1.6,0.4,0.4) >>> library(robust) >>> lmR<-lmRob(y~factor(x)) >>> anova(lmR) >>> lmR0<-lmRob(y~1) >>> anova(lmR,lmR0) >>> >>> If I run the code omitting the factor() (then treating "x" as continuous), >>> the results are the same.. >>> >> >> I do not get the same results with that code. And the code does not appea...