R help - May 2010 - sem error "no variance or error-variance parameter"

Hi,
I am using the R version 2.11.0 and the version of sem package: sem_0.9-20
under Windows XP.
I read the questions:
http://r.789695.n4.nabble.com/computationally-singular-and-lack-of-variance-parameters-in-SEM-td891081.html#a891082

and 

http://r.789695.n4.nabble.com/computationally-singular-and-lack-of-variance-parameters-in-SEM-td891081.html#a891081

but it does not seem to be my problem. I try to replicate the sem model (see
the attacheted image) but i got stuck with the problem while computing the
estimates of the model:
The error message:

Error in nlm(if (analytic.gradient) objective.2 else objective.1, start,  : 
  probable coding error in analytic gradient
In addition: Warning message:
In sem.default(ram = ram, S = S, N = N, param.names = pars, var.names vars,  :
  The following variables have no variance or error-variance parameter
(double-headed arrow):
 Fugural1 
The model is almost surely misspecified; check also for missing covariances.

Here is my script:

cov.matrix <-
matrix(c(56.21,0,0,0,0,0,0,0,0,31.55,75.55,0,0,0,0,0,0,0,23.27,28.30,44.45,0,0,0,0,0,0,24.48,32.24,22.56,84.64,0,0,0,0,0,22.51,29.54,20.61,57.61,78.93,0,0,0,0,22.65,27.56,15.33,53.57,49.27,73.76,0,0,0,33.24,46.49,31.44,67.81,54.76,54.58,141.77,0,0,32.56,40.37,25.58,55.82,55.33,47.74,98.62,117.33,0,30.32,40.44,27.69,54.78,53.44,59.52,96.95,84.87,106.35),nrow=9,ncol=9,byrow=FALSE)
rownames(cov.matrix) <- colnames(cov.matrix) <-
c("IND1","IND2","IND3","FR11","FR12","FR13","FR21","FR22","FR23")

# options(nlm=(check.analyticals = TRUE)); I tried to set the nlm on
different option, but did not work either

m1 <- specify.model()
Induction -> IND1, NA, 1
Induction -> IND2, y2, NA
Induction -> IND3, y3, NA
Fugural1 -> FR11, NA, 1
Figural1 -> FR12, y5, NA
Figural1 -> FR13, y6, NA
Figural2 -> FR21, NA, 1
Figural2 -> FR22, y8, NA
Figural2 -> FR23, y9, NA
Induction -> Figural1, x1, NA
Figural1 -> Figural2,x2, NA
Induction -> Figural2, x3, NA
IND1 <-> IND1, e1, NA
IND2 <-> IND2, e2, NA
IND3 <-> IND3, e3, NA
FR11 <-> FR11, e4, NA
FR12 <-> FR12, e5, NA		 	
FR13 <-> FR13, e6, NA
FR21 <-> FR21,e7, NA
FR22 <-> FR22, e8, NA
FR23 <-> FR23, e9, NA
Figural1 <-> Figural1, e10, NA
Figural2 <-> Figural2, e11, NA
Induction <-> Induction, NA, 1

sem1 <- sem(m1,cov.matrix,N=220,debug=T)

# I added the Induction <-> Induction, NA, 1 fixed parametr after reading
the help from John Fox, that every variable should have an error variance 


Can anybody please advise me what I am doing wrong? 
Many thanks!

Jan Schubert
Institute of Social Science
Charles University, Prague 
 
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Hi,
I am sorry to post the message again but I really need some advise on that.
I am using the R version 2.11.0 and the version of sem package: sem_0.9-20
under Windows XP.
I read the questions:
http://r.789695.n4.nabble.com/computationally-singular-and-lack-of-variance-parameters-in-SEM-td891081.html#a891082

and

http://r.789695.n4.nabble.com/computationally-singular-and-lack-of-variance-parameters-in-SEM-td891081.html#a891081

but it does not seem to be my problem. I try to replicate the sem model (see
the attacheted image) but i got stuck with the problem while computing the
estimates of the model:
The error message:

Error in nlm(if (analytic.gradient) objective.2 else objective.1, start,  :
  probable coding error in analytic gradient
In addition: Warning message:
In sem.default(ram = ram, S = S, N = N, param.names = pars, var.names vars,  :
  The following variables have no variance or error-variance parameter
(double-headed arrow):
 Fugural1
The model is almost surely misspecified; check also for missing covariances.

Here is my script:

cov.matrix <-
matrix(c(56.21,0,0,0,0,0,0,0,0,31.55,75.55,0,0,0,0,0,0,0,23.27,28.30,44.45,0,0,0,0,0,0,24.48,32.24,22.56,84.64,0,0,0,0,0,22.51,29.54,20.61,57.61,78.93,0,0,0,0,22.65,27.56,15.33,53.57,49.27,73.76,0,0,0,33.24,46.49,31.44,67.81,54.76,54.58,141.77,0,0,32.56,40.37,25.58,55.82,55.33,47.74,98.62,117.33,0,30.32,40.44,27.69,54.78,53.44,59.52,96.95,84.87,106.35),nrow=9,ncol=9,byrow=FALSE)
rownames(cov.matrix) <- colnames(cov.matrix) <-
c("IND1","IND2","IND3","FR11","FR12","FR13","FR21","FR22","FR23")

# options(nlm=(check.analyticals = TRUE)); I tried to set the nlm on
different option, but did not work either

m1 <- specify.model()
Induction -> IND1, NA, 1
Induction -> IND2, y2, NA
Induction -> IND3, y3, NA
Fugural1 -> FR11, NA, 1
Figural1 -> FR12, y5, NA
Figural1 -> FR13, y6, NA
Figural2 -> FR21, NA, 1
Figural2 -> FR22, y8, NA
Figural2 -> FR23, y9, NA
Induction -> Figural1, x1, NA
Figural1 -> Figural2,x2, NA
Induction -> Figural2, x3, NA
IND1 <-> IND1, e1, NA
IND2 <-> IND2, e2, NA
IND3 <-> IND3, e3, NA
FR11 <-> FR11, e4, NA
FR12 <-> FR12, e5, NA
FR13 <-> FR13, e6, NA
FR21 <-> FR21,e7, NA
FR22 <-> FR22, e8, NA
FR23 <-> FR23, e9, NA
Figural1 <-> Figural1, e10, NA
Figural2 <-> Figural2, e11, NA
Induction <-> Induction, NA, 1

sem1 <- sem(m1,cov.matrix,N=220,debug=T)

# I added the Induction <-> Induction, NA, 1 fixed parametr after reading
the help from John Fox, that every variable should have an error variance


Can anybody please advise me what I am doing wrong?
Many thanks!

Jan Schubert
Institute of Social Science
Charles University, Prague 
-- 
View this message in context:
http://r.789695.n4.nabble.com/sem-error-no-variance-or-error-variance-parameter-tp2221804p2221804.html
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Hi,
many thanks for the help (i would swear I controlled the model specification
like 15 times...).
It runs correctly now!

Best wishes,

Jan Schubert
Institute of Social Science
Charles University, Prague 


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