semPlot (version 1.1.6)

semSyntax: Produce model syntax for various SEM software

Description

This function produces a model object or model syntax for SEM software based on a semPlotModel-class object. If the input is not a "semPlotModel" object the semPlotModel function is run on the input. This allows to create model syntax for one program based on the output of another program.

Currently only the R packages 'lavaan' (Rosseel, 2012) and 'sem' (Fox, Nie & Byrnes, 2012) are supported.

Usage

semSyntax(object, syntax = "lavaan", allFixed = FALSE, file)

Value

A string containing the lavaan model syntax or a "semmod" object for the sem package.

Arguments

object

A "semPlotModel" object or any of the input possibilities for semPlotModel.

syntax

A string indicating which syntax to be used for the output. Currently supported are 'lavaan' and 'sem'.

allFixed

Logical, should all parameters be fixed to their estimate. Useful for simulating data.

file

Path of a file the model should be written to.

Author

Sacha Epskamp <[e-mail]>

References

Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.

John Fox, Zhenghua Nie and Jarrett Byrnes (2012). sem: Structural Equation Models. R package version 3.0-0. http://CRAN.R-project.org/package=sem

See Also

semPlotModel semPlotModel-class semPaths

Examples

# MIMIC model, example 5.8 from mplus user guide:
tryres <- try({
 Data <- read.table("http://www.statmodel.com/usersguide/chap5/ex5.8.dat")
})

if (!is(tryres,"try-error")){


names(Data) <- c(paste("y", 1:6, sep=""),
                 paste("x", 1:3, sep=""))

# Data <- Data[,c(7:9,1:6)]

# Model:
model.Lavaan <- 'f1 =~ y1 + y2 + y3
f2 =~ y4 + y5 + y6
f1 + f2 ~ x1 + x2 + x3 '

# Run Lavaan:
library("lavaan")
fit.Lavaan <- lavaan:::cfa(model.Lavaan, data=Data, std.lv=TRUE)

# Obtain Lavaan syntax:
model.Lavaan2 <- semSyntax(fit.Lavaan, "lavaan")

# Run Lavaan again:
fit.Lavaan2 <- lavaan:::lavaan(model.Lavaan2, data=Data)

# Compare models:
layout(t(1:2))
semPaths(fit.Lavaan,"std",title=FALSE)
title("Lavaan model 1",line=3)
semPaths(fit.Lavaan2, "std",title=FALSE)
title("Lavaan model 2",line=3)

# Convert to sem model:
model.sem <- semSyntax(fit.Lavaan, "sem")

# Run sem:
library("sem")
fit.sem <- sem:::sem(model.sem, data = Data)

# Compare models:
layout(t(1:2))
semPaths(fit.Lavaan,"std",title=FALSE)
title("Lavaan",line=3)
semPaths(fit.sem, "std",title=FALSE)
title("sem",line=3)
}