Error Meesage from mxGenerateData from Documentation Example Code

# -----------------------------------------------------------------------------
# Program: OneFactorJoint_PathRaw.R
# Author: Ryne Estabrook
# Date: 2014.05.09
#
# ModelType: Factor
# DataType: Ordinal
# Field: None
#
# Purpose:
# One Factor model to estimate factor loadings, residual variances, means and thresholds
# Path style model input - Raw data input
#
# RevisionHistory:
# Hermine Maes -- 2014.11.02 piecewise specification
# -----------------------------------------------------------------------------

require(OpenMx)
# Load Library
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data(myFADataRaw)

oneFactorJoint <- myFADataRaw[,c("x1","x2","x3","z1","z2","z3")]

oneFactorJoint$z1 <- mxFactor(oneFactorJoint$z1, levels=c(0, 1))
oneFactorJoint$z2 <- mxFactor(oneFactorJoint$z2, levels=c(0, 1))
oneFactorJoint$z3 <- mxFactor(oneFactorJoint$z3, levels=c(0, 1, 2))

# Prepare Data
# -----------------------------------------------------------------------------

dataRaw <- mxData( observed=oneFactorJoint, type="raw" )
# residual variances
resVars <- mxPath( from=c("x1","x2","x3","z1","z2","z3"), arrows=2,
free=c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE),
values=1, labels=c("e1","e2","e3","e4","e5","e6") )
# latent variance
latVar <- mxPath( from="F1", arrows=2,
free=FALSE, values=1, labels ="varF1" )
# factor loadings
facLoads <- mxPath( from="F1", to=c("x1","x2","x3","z1","z2","z3"), arrows=1,
free=TRUE, values=1, labels=c("l1","l2","l3","l4","l5","l6") )
# means
means <- mxPath( from="one", to=c("x1","x2","x3","z1","z2","z3","F1"), arrows=1,
free=c(TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE), values=0,
labels=c("meanx1","meanx2","meanx3","meanz1","meanz2","meanz3","meanF") )
# thresholds
thresholds <- mxThreshold(vars=c("z1","z2","z3"), nThresh=c(1,1,2),
free=TRUE, values=c(-1, 0, -.5, 1.2),
labels=c("var1_th1","var2_th1","var3_th1","var3_th2") )

oneFactorJointModel <- mxModel("Common Factor Model Path Specification", type="RAM",
manifestVars=c("x1","x2","x3","z1","z2","z3"), latentVars="F1",
dataRaw, resVars, latVar, means, thresholds, facLoads)

# Create an MxModel object
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oneFactorJointFit <- mxRun(oneFactorJointModel,intervals=TRUE)
# Fit the model with mxRun
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summary(oneFactorJointFit)
oneFactorJointFit$output$estimate
# Print a summary of the results
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