umx (version 4.0.0)

umxPlotACEv: Produce a graphical display of an ACE variance-components twin model

Description

Plots an ACE model graphically, opening the result in the browser (or a graphviz application).

Usage

umxPlotACEv(
  x = NA,
  file = "name",
  digits = 2,
  means = FALSE,
  std = TRUE,
  strip_zero = TRUE,
  ...
)

Arguments

x

umxACEv() model to plot.

file

The name of the dot file to write: Default ("name") = use the name of the model. NA = don't plot.

digits

How many decimals to include in path loadings (default = 2)

means

Whether to show means paths (default = FALSE)

std

Whether to standardize the model (default = FALSE)

strip_zero

Whether to strip the leading "0" and decimal point from parameter estimates (default = TRUE)

...

Additional (optional) parameters

Value

• optionally return the dot code

References

• https://www.github.com/tbates/umx

See Also

Other Plotting functions: plot.MxLISRELModel(), plot.MxModel(), umxPlotACEcov(), umxPlotACE(), umxPlotCP(), umxPlotGxEbiv(), umxPlotGxE(), umxPlotIP(), umxPlotSexLim(), umxPlotSimplex(), umx

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

Examples

# NOT RUN {
require(umx)
data(twinData)
mzData <- subset(twinData, zygosity == "MZFF")
dzData <- subset(twinData, zygosity == "DZFF")
m1 = umxACEv(selDVs = "bmi", dzData = dzData, mzData = mzData, sep = "")
plot(m1, std = FALSE) # don't standardize
# }