search for: testsamp

Hi I have tried many attempts but cant get the loop right, as I am not a strong programmer. What I am basically trying to do is compare 2 spreadsheets. The problem is that one of them only contain a portion of the overall data (TESTSAMP), where the other has a full datasetFULLSAMP. From the complete set I would like to remove the rows of data which are not in the TESTSAMP. Column 1 contains the sample numbers which can be used to identify samples. Does anyone have any suggestions? I have tried various things like double loops an...

...the set of random effects has dimension 8, then the lmer call is: Zs<- paste("Z",1:mb,sep="") Trendformula <-as.formula(paste("LogY ~ WYear + (1+WYear|Site) + (1|", paste(paste(Zs,collapse="+"), ")"))) fit2.4a<-lmer(Trendformula, data = testsamp) which, for mb=8, expands to: fit1<-lmer(LogY ~ WYear + (1 | Site) + (1 | Year) + (1 | Z1+ Z2 + Z3 + Z4 + Z5 + Z6 + Z7 + Z8), data = testsamp) I have no problems with this. However, if the set of random effects has a dimension of 30, then the lmer call is: fit2<-lmer(LogY ~ WYear + (1...