An R package for calling Onyx GUI from R when using OpenMx or lavaan packages for Structural Equation Modelling. The package provides a simple onyx() function that takes either an OpenMx model or a lavaan model (either a fitted lavaan model or string specification). If a local onyx executable is available, its path can be passed to the function. Otherwise, it will attempt to download a copy of Onyx from the official repository. A recent version of JAVA (version 1.6+) is required to be installed on the system.
To install the onyxR package directly from GitHub, copy the following line into R: ```{r, eval=FALSE} source('https://raw.githubusercontent.com/brandmaier/onyxR/master/tools/install.R')
## Usage
Using onyxR is as simple as that. In lavaan
````{r, eval=FALSE}
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit <- cfa(HS.model, data = HolzingerSwineford1939)
summary(fit, fit.measures = TRUE)
onyx(fit)
````
Alternatively, we can use onyxR to generate a path diagram for an OpenMx RAM-type model:
````{r, eval=FALSE}
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("G")
factorModel <- mxModel("One Factor",
type="RAM",
manifestVars = manifests,
latentVars = latents,
mxPath(from=latents, to=manifests),
mxPath(from=manifests, arrows=2),
mxPath(from=latents, arrows=2,
free=FALSE, values=1.0),
mxData(cov(demoOneFactor), type="cov",
numObs=500))
fit <- mxRun(factorModel)
onyx(fit)
````
![openmx](https://github.com/brandmaier/onyxR/blob/master/inst/openmx-factor.png?raw=true)
## Demo
In a simple demo, we have wrapped the above example. We define the HS model with three independent factors in lavaan and pass this to Onyx to display the path diagram.
````{r, eval=FALSE}
require(onyxR)
demo(lavaanHS)
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