dear sir,
i need your help to correct the winbugs code and when i conducted this program i received this message "expected variable name" and highlight on N2 why i dont know??
thanks in advance
regards
thanoon
model{
for(i in 1:N1){
#measurement equation model
for(j in 1:P){y1[i,j]~dunif(0,1)}
mu1[i,1]<-eta1[i]
mu1[i,2]<-lam1[1]*eta1[i]
mu1[i,3]<-lam1[2]*eta1[i]
mu1[i,4]<-xi1[i,1]
mu1[i,5]<-lam1[3]*xi1[i,1]
mu1[i,6]<-lam1[4]*xi1[i,1]
mu1[i,7]<-xi1[i,2]
mu1[i,8]<-lam1[5]*xi1[i,2]
mu1[i,9]<-lam1[6]*xi1[i,2]
#structural equation model
xi1[i,1:2]~dmnorm(u1[1:2],phi1[1:2,1:2])
eta1[i]~dnorm(nu1[i],psd1)
nu1[i]<-gam1[1]*xi1[i,1]+gam1[2]*xi1[i,2]
} #end of i
for(j in 1:P){psi1[j]<-1.0}
for(j in 1:2){u1[j]<-0.0}
#priors on loadings and coefficients
lam1[1]~dnorm(3.12,4.0) lam1[2]~dnorm(0.10,4.0) lam1[3]~dnorm(3.32,4.0)
lam1[4]~dnorm(3.10,4.0) lam1[5]~dnorm(4.30,4.0) lam1[6]~dnorm(3.14,4.0)
var.gam1<-4.0*psd1
gam1[1]~dnorm(-1.0,var.gam1) gam1[2]~dnorm(0.86,var.gam1)
#priors on precisions
psd1~dgamma(8.0, 10.0)
sgd1<-1/psd1
phi1[1:2,1:2]~dwish(R[1:2,1:2], 8)
phx1[1:2,1:2]<-inverse(phi1[1:2,1:2])
} # end of model
#Group two
for(i in 1:N2){
#measurement equation model
for(j in 1:P){y2[i,j]~dunif(0,1)}
mu2[i,1]<-eta2[i]
mu2[i,2]<-lam2[1]*eta2[i]
mu2[i,3]<-lam2[2]*eta2[i]
mu2[i,4]<-xi2[i,1]
mu2[i,5]<-lam2[3]*xi2[i,1]
mu2[i,6]<-lam2[4]*xi2[i,1]
mu2[i,7]<-xi2[i,2]
mu2[i,8]<-lam2[5]*xi2[i,2]
mu2[i,9]<-lam2[6]*xi2[i,2]
#structural equation model
xi2[i,1:2]~dmnorm(u2[1:2],phi2[1:2,1:2])
eta2[i]~dnorm(nu2[i],psd2)
nu2[i]<-gam2[1]*xi2[i,1]+gam2[2]*xi2[i,2]
} #end of i
for(j in 1:P){psi2[j]<-1.0}
for(j in 1:2){u2[j]<-0.0}
#priors on loadings and coefficients
lam2[1]~dnorm(3.12,4.0) lam2[2]~dnorm(0.10,4.0) lam2[3]~dnorm(3.32,4.0)
lam2[4]~dnorm(3.10,4.0) lam2[5]~dnorm(4.30,4.0) lam2[6]~dnorm(3.14,4.0)
var.gam2<-4.0*psd2
gam2[1]~dnorm(-1.0,var.gam2) gam2[2]~dnorm(0.86,var.gam2)
#priors on precisions
psd2~dgamma(8.0, 10.0)
sgd2<-1/psd2
phi2[1:2,1:2]~dwish(R[1:2,1:2], 8)
phx2[1:2,1:2]<-inverse(phi2[1:2,1:2])
} # end of model
Data
list(N1=400, N2=437, P=9, R=structure(
.Data=c(1.0, 0.0,
0.0, 1.0),.Dim=c(2,2)),
y1=structure(
.Data=c(0,0,0,1,1,1,1,0,0,1,1,0,0,1,1,1,1,1,0,0,0,1,1,1,0,0,0,0,1,1,0,1,1,0,0,0,0,0,1,0,1,1,1,1,1,1,1,0,1,0,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,1,1,1,1,0,1,0,0,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,0,1,1,1,1,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,0,1,1,0,0,1,0,0,1,0,0,0,1,0,1,0,1,1,1,0,1,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,1,0,1,1,1,0,0,1,0,1,0,1,1,1,0,0,0,0,0,0,1,0,1,1,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,1,0,1,0,1,0,0,1,0,0,0,1,1,0,1,1,1,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,1,0,0,1,1,1,1,1,1,1,0,1,0,0,0,0,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,0,0,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,0,0,0,1,0,0,1,1,0,1,1,1,0,0,0,1,0,1,0,0,0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,1,0,1,0,1,0,0,0,1,1,0,0,0,1,0,0,1,1,0,0,1,1,0,1,1,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,0,1,1,0,0,0,1,0,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,1,0,1,0,0,1,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,0,1,0,0,0,1,0,1,1,0,0,0,1,0,1,0,1,1,1,0,0,1,0,1,1,0,1,0,1,0,0,0,1,1,1,1,1,0,0,1,1,0,1,0,0,1,1,1,1,0,1,1,1,1,0,0,0,1,0,1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,1,1,1,0,0,1,1,1,0,0,1,0,1,1,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,1,1,1,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,1,1,0,0,1,0,1,1,1,1,1,0,1,1,0,1,1,1,1,1,0,0,0,0,1,0,1,0,1,1,1,1,0,1,0,1,0,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,0,1,1,1,1,1,1,1,0,1,0,0,0,1,1,1,1,0,1,0,0,0,1,0,0,0,0,1,0,1,1,1,0,0,0,0,0,1,1,0,1,1,1,1,0,1,0,1,1,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,1,1,1,0,0,1,1,1,1,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,0,1,1,1,0,0,0,1,1,0,1,1,1,0,0,1,1,1,1,0,0,0,0,0,0,1,0,1,1,1,1,0,1,0,0,1,1,1,1,1,0,0,1,0,1,1,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,1,0,1,0,0,0,1,1,1,0,0,0,1,1,0,0,1,1,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,1,1,1,1,0,1,0,1,0,1,0,0,1,0,1,1,1,1,1,1,1,1,0,0,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,1,0,1,1,1,1,1,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,0,0,0,0,0,1,0,1,0,1,0,0,1,0,1,1,1,1,0,1,1,0,0,1,1,1,1,0,0,0,1,0,1,0,1,1,1,1,0,1,0,1,1,0,1,1,1,1,0,0,0,0,1,1,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,1,1,0,0,0,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,1,1,1,0,1,1,1,0,0,0,0,1,0,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,1,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,1,0,1,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,1,1,0,1,1,1,0,0,1,1,0,1,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,0,0,1,0,1,0,1,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,0,1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,0,1,0,0,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,0,1,0,1,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,1,1,1,0,0,1,0,0,0,1,0,0,1,1,1,1,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,1,0,1,1,0,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,1,1,1,1,1,1,0,1,0,0,1,1,1,0,1,0,0,0,1,0,1,1,0,0,1,1,1,1,1,1,0,0,0,1,0,1,1,1,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,1,0,0,1,0,1,0,0,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,0,0,0,1,0,1,0,0,0,0,1,0,1,1,1,1,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,1,0,0,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,0,1,0,0,1,0,1,0,1,1,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,1,0,1,0,1,1,1,0,0,0,1,1,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,1,0,1,1,1,0,1,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,1,1,1,1,0,1,1,1,1,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,1,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,0,0,1,0,1,0,1,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,1,0,1,1,1,1,0,1,0,1,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,1,0,0,1,0,1,1,1,1,1,0,0,0,0,1,1,0,0,0,1,0,1,1,1,0,1,1,1,0,1,0,1,1,1,1,0,0,0,0,1,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y2=structure(
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.Dim=c(437,9)))
Three different Initial values
list(lam=c(0.8,0.8,0.8,0.8,0.8,0.8),gam=c(-1.2,1.0),psd=0.5,
phi=structure(
.Data=c(1.0, 0.5,
0.5,1.0),.Dim=c(2,2)),
xi=structure(
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-------------------------------------------------------------------
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