| umxSummaryACE {umx} | R Documentation |
Shows a compact, publication-style, summary of a umx Cholesky ACE model
Description
Summarize a fitted Cholesky model returned by umxACE(). Can control digits, report comparison model fits,
optionally show the Rg (genetic and environmental correlations), and show confidence intervals. the report parameter allows
drawing the tables to a web browser where they may readily be copied into non-markdown programs like Word.
Usage
umxSummaryACE(
model,
digits = 2,
comparison = NULL,
std = TRUE,
showRg = FALSE,
CIs = TRUE,
report = c("markdown", "html"),
file = getOption("umx_auto_plot"),
returnStd = FALSE,
extended = FALSE,
zero.print = ".",
...
)
Arguments
model |
an |
digits |
round to how many digits (default = 2). Defaults to NA = do not create plot output. |
comparison |
you can run mxCompare on a comparison model (NULL). |
std |
Whether to standardize the output (default = TRUE). |
showRg |
= whether to show the genetic correlations (FALSE). |
CIs |
Whether to show Confidence intervals if they exist (TRUE). |
report |
If "html", then open an html table of the results. |
file |
The name of the dot file for figure: "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). |
zero.print |
How to show zeros (".") |
... |
Other parameters to control model summary. |
Details
See documentation for other umx models here: umxSummary().
Value
optional
mxModel()
References
See Also
Other Twin Modeling Functions:
power.ACE.test(),
umxACEcov(),
umxACEv(),
umxACE(),
umxCP(),
umxDiffMZ(),
umxDiscTwin(),
umxDoCp(),
umxDoC(),
umxGxE_window(),
umxGxEbiv(),
umxGxE(),
umxIP(),
umxMRDoC(),
umxReduceACE(),
umxReduceGxE(),
umxReduce(),
umxRotate.MxModelCP(),
umxSexLim(),
umxSimplex(),
umxSummarizeTwinData(),
umxSummaryACEv(),
umxSummaryDoC(),
umxSummaryGxEbiv(),
umxSummarySexLim(),
umxSummarySimplex(),
umxTwinMaker(),
umx
Examples
## Not run:
require(umx)
data(twinData)
selDVs = c("bmi1", "bmi2")
mzData = subset(twinData, zygosity == "MZFF")
dzData = subset(twinData, zygosity == "DZFF")
m1 = umxACE(selDVs = selDVs, dzData = dzData, mzData = mzData)
umxSummary(m1)
umxSummaryACE(m1, file = NA);
umxSummaryACE(m1, file = "name", std = TRUE)
stdFit = umxSummaryACE(m1, returnStd = TRUE);
## End(Not run)