umxSummaryACEcov: Present results of a twin ACE-model with covariates in table...

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

Present results of a twin ACE-model with covariates in table and graphical forms.

Description

Summarize a Cholesky model with random-effects covariates, as returned by umxACEcov()

Usage

umxSummaryACEcov(
  model,
  digits = 2,
  showRg = FALSE,
  std = TRUE,
  comparison = NULL,
  CIs = TRUE,
  zero.print = ".",
  report = c("markdown", "html"),
  file = getOption("umx_auto_plot"),
  returnStd = FALSE,
  extended = FALSE,
  ...
)

Arguments

model	A umxACEcov() model to summarize
digits	Round to how many digits (default = 2)
showRg	= Whether to show the genetic correlations (FALSE)
std	= Whether to show the standardized model (TRUE)
comparison	You can run mxCompare on a comparison model (NULL)
CIs	Whether to show Confidence intervals if they exist (TRUE)
zero.print	How to show zeros (".")
report	If "html", then open an html table of the results.
file	The name of the dot file to write: NA = none; "name" = use the name of the model
returnStd	Whether to return the standardized form of the model (default = FALSE)
extended	How much to report (FALSE)
...	Other parameters to control model summary

Value

• optional OpenMx::mxModel()

References

• https://tbates.github.io, https://github.com/tbates/umx

See Also

• umxACEcov()

Other Summary functions: umxSummary.MxModel(), umxSummaryCP(), umxSummaryGxE(), umxSummaryIP(), umxSummaryMRDoC()

Examples

## Not run: 
require(umx)
data(twinData)
mzData = subset(twinData, zygosity == "MZFF")
dzData = subset(twinData, zygosity == "DZFF")
m1 = umxACEcov(selDVs = c("bmi", "wt"), selCovs = "ht", dzData = dzData, mzData = mzData, sep="")
umxSummaryACEcov(m1, file = NA)
umxSummaryACEcov(m1, file = "name", std = TRUE)
stdFit = umxSummary(m1, returnStd = TRUE)

## End(Not run)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.