umxExpMeans: Extract the expected means matrix from an 'mxModel()'

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

Extract the expected means matrix from an mxModel()

Description

Extract the expected means matrix from an mxModel()

Usage

umxExpMeans(model, manifests = TRUE, latents = NULL, digits = NULL)

Arguments

model	an mxModel() to get the means from
manifests	Whether to select the manifest variables (defaults to TRUE)
latents	Whether to select the latent variables (defaults to TRUE)
digits	precision of reporting. Default (NULL) will not round at all.

Value

• expected means

References

• https://openmx.ssri.psu.edu/thread/2598

See Also

Other Reporting functions: RMSEA.MxModel(), RMSEA.summary.mxmodel(), RMSEA(), extractAIC.MxModel(), loadings.MxModel(), loadings(), residuals.MxModel(), tmx_show.MxMatrix(), tmx_show(), umxCI_boot(), umxCI(), umxConfint(), umxExpCov(), umxFitIndices(), umxRotate()

Examples

## Not run: 

require(umx)
data(demoOneFactor)
manifests = names(demoOneFactor)
m1 = umxRAM("One Factor", data = demoOneFactor,
	umxPath("G", to = manifests),
	umxPath(v.m. = manifests),
	umxPath(v1m0 = "G")
)

umxExpMeans(m1)
umxExpMeans(m1, digits = 3)

## End(Not run)

tbates/umx documentation built on April 10, 2024, 8:14 p.m.