umx (version 4.0.0)

umxPlotACEcov: Make a graphical display of an ACE model with covariates.

Description

Make a graphical display of an ACE model with covariates.

Usage

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

Arguments

x

mxModel() to plot (created by umxACE in order to inherit the MxModelACE class)

file

The name of the dot file to write: NA = none; "name" = use the name of the model

digits

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

means

Whether to show means paths (default is FALSE)

std

Whether to standardize the model (default is TRUE)

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://tbates.github.io

See Also

• plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.

• umxACE()

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

Examples

# NOT RUN {
require(umx)
# BMI ?twinData from Australian twins. 
# Cohort 1 Zygosity 1 == MZ females 3 == DZ females
data(twinData)

# Pick the variables. We will use base names (i.e., "bmi") and set suffix.
selDVs  = c("bmi")
selCovs = c("ht")
selVars = umx_paste_names(c(selDVs, selCovs), sep = "", suffixes= 1:2)
# Just top few pairs so example runs quickly
mzData = subset(twinData, zygosity == "MZFF", selVars)[1:100, ]
dzData = subset(twinData, zygosity == "DZFF", selVars)[1:100, ]
m1 = umxACEcov(selDVs= selDVs, selCovs= selCovs, dzData= dzData, mzData= mzData, sep= "")
plot(m1)
plot(m1, std = FALSE) # don't standardize
# }