Hello I am using sem to look at the direct effect of one variable on another but i am uncertain if i am progressing correctly.
An example: covar1<- matrix(c(0.4,-0.2,3,-0.2 , 0.3,-2 , 3 ,-2 , 60), nrow=3,byrow=T) rownames(covar1)<-colnames(covar1)<-c("endo","exo","med") path1<-matrix(c( "exo -> endo", "g1", NA, "exo -> med", "g2", NA, "med -> endo", "g3", NA "med<->med",NA,1, "endo<->endo",NA,1), ncol=3,byrow=T) output2<-sem(path1,covar1,N=400,fixed=c("exo")) summary(output) With this i can get the direct effect of exo on endo. But if i want 'med' above to be a latent variable that is identified by a number of variables - in the example below i use just one - do i proceed as follows. ##With latent variable path2<-matrix(c( "exo -> endo", "g1",NA, "exo -> latent", "g2", NA, "latent -> endo","g3", NA, "latent -> med", "g4", NA, "med<->med",NA,1, "endo<->endo",NA,1 , "latent<->latent",NA,1), ncol=3,byrow=T) output2<-sem(path2,covar1,N=400,fixed=c("exo")) Is this the correct way to formulate this please? thanks for any advice ______________________________________________ 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.