umx (version 4.20.0)

umxPlotSexLim: Draw and display a graphical figure of a Sex limitation model

Description

Will plot a graphical figure for a sex limitation model. Options include digits (rounding), showing means or not, and which output format is desired.

Usage

umxPlotSexLim(
  x = NA,
  file = "name",
  digits = 2,
  means = FALSE,
  std = TRUE,
  format = c("current", "graphviz", "DiagrammeR"),
  SEstyle = FALSE,
  strip_zero = TRUE,
  ...
)

Value

• Optionally return the dot code

Arguments

x

mxModel() to display graphically

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 (defaults to 2)

means

Whether to show means paths (defaults to FALSE)

std

Whether to standardize the model (defaults to TRUE)

format

= c("current", "graphviz", "DiagrammeR")

SEstyle

report "b (se)" instead of "b [lower, upper]" (Default)

strip_zero

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

...

Optional additional parameters

References

• https://tbates.github.io

See Also

• umxSexLim(), umxSummarySexLim()

Other Plotting functions: ggAddR(), plot.MxLISRELModel(), plot.MxModelTwinMaker(), plot.MxModel(), umxPlotACEcov(), umxPlotACEv(), umxPlotACE(), umxPlotCP(), umxPlotDoC(), umxPlotFun(), umxPlotGxEbiv(), umxPlotGxE(), umxPlotIP(), umxPlotSimplex(), umxPlot(), umx

Examples

if (FALSE) {
require(umx)
umx_set_optimizer("SLSQP")
data("us_skinfold_data")
# Rescale vars
us_skinfold_data[, c('bic_T1', 'bic_T2')] = us_skinfold_data[, c('bic_T1', 'bic_T2')]/3.4
us_skinfold_data[, c('tri_T1', 'tri_T2')] = us_skinfold_data[, c('tri_T1', 'tri_T2')]/3
us_skinfold_data[, c('caf_T1', 'caf_T2')] = us_skinfold_data[, c('caf_T1', 'caf_T2')]/3
us_skinfold_data[, c('ssc_T1', 'ssc_T2')] = us_skinfold_data[, c('ssc_T1', 'ssc_T2')]/5
us_skinfold_data[, c('sil_T1', 'sil_T2')] = us_skinfold_data[, c('sil_T1', 'sil_T2')]/5

# Data for each of the 5 twin-type groups
mzmData = subset(us_skinfold_data, zyg == 1)
mzfData = subset(us_skinfold_data, zyg == 2)
dzmData = subset(us_skinfold_data, zyg == 3)
dzfData = subset(us_skinfold_data, zyg == 4)
dzoData = subset(us_skinfold_data, zyg == 5)

# ==========================
# = Run univariate example =
# ==========================
m1 = umxSexLim(selDVs = "bic", sep = "_T", A_or_C = "A", autoRun= FALSE,
	mzmData = mzmData, dzmData = dzmData, 
	mzfData = mzfData, dzfData = dzfData, 
	dzoData = dzoData
)
m1 = mxTryHard(m1)
umxPlotSexLim(m1)
plot(m1) # no need to remember a special name: plot works fine!
}