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2004 Jan 22
0
problem fitting linear mixed models
...1.5320000000000000,11.7100000000000010,11.3519999999999990,11.0000000000000000,10.6300000000000010, 10.8720000000000020,10.6133333333333350) Gene<-data.frame(Subject=as.factor(as.character(Subject)),Tissue=as.factor(as.character(Tissue)),Intensity=IntensityA) # fitted model (does not work!) mlmA<-lme(Intensity ~ Tissue-1,weights=varIdent(form=~1|Tissue),correlation=corSymm(),data=Gene,random=~1|Subject); summary(mlmA) #sample means lapply(split(Gene$Intensity,Gene$Tissue),mean) #fitted model with rounded data (it works) Gene$Intensity<-round(Gene$Intensity,4) mlmA<-lme(I...