Displaying 1 result from an estimated 1 matches for "chamelacolonysize".
2009 May 01
1
computationally singular and lack of variance parameters in SEM
...m to be computationally singular
(sometimes it says it is exactly singular). I am setting N=80 because I
have four observed variables with 20 observations each, I hope this is
correct. I have attached the path diagram for my model as a jpeg.
My R code is the following:
data<-read.table("ChamelaColonySize.csv",header=TRUE,sep=",")
attach(data)
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',&...