search for: ramcor

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2009 May 01
1
computationally singular and lack of variance parameters in SEM
...ta) cor(data,method="spearman") CorMatrix<-matrix(c( + 1, 0, 0, 0, + -0.4974, 1, 0, 0, + -0.4403, 0.7965, 1, 0, + 0.1250, 0.2602, 0.1825, 1),ncol=4,byrow=T) rownames(CorMatrix)<-colnames(CorMatrix)<-c('Herbivory','Ants','Coccoids', 'Space') ramcor<-specify.model() Coccoids<->Ants, gam12, NA Space->Ants, gam12, NA Ants->Herbivory,bet21, NA ?read.table sem<-sem(ram=ramcor,S=CorMatrix,N=80,fixed.x=c('Coccoids','Space')) var(data) VarMatrix<-matrix(c( + 0.73, 0, 0, 0, + -86.11, 35877.52, 0, 0, + -2...