Shows a compact, publication-style, summary of a variance-based Cholesky ACE model.
Summarize a fitted Cholesky model returned by umxACEv()
. 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.
umxSummaryACEv( model, digits = 2, file = getOption("umx_auto_plot"), comparison = NULL, std = TRUE, showRg = FALSE, CIs = TRUE, report = c("markdown", "html"), returnStd = FALSE, extended = FALSE, zero.print = ".", show = c("std", "raw"), ... )
model |
an |
digits |
round to how many digits (default = 2) |
file |
The name of the dot file to write: "name" = use the name of the model. Defaults to NA = no plot. |
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 |
returnStd |
Whether to return the standardized form of the model (default = FALSE) |
extended |
how much to report (FALSE) |
zero.print |
How to show zeros (".") |
show |
Here to support being called from generic xmu_safe_run_summary. User should ignore: can be c("std", "raw") |
... |
Other parameters to control model summary |
See documentation for other umx models here: umxSummary()
.
optional mxModel()
Other Twin Modeling Functions:
power.ACE.test()
,
umxACEcov()
,
umxACEv()
,
umxACE()
,
umxCP()
,
umxDoCp()
,
umxDoC()
,
umxGxE_window()
,
umxGxEbiv()
,
umxGxE()
,
umxIP()
,
umxReduceACE()
,
umxReduceGxE()
,
umxReduce()
,
umxRotate.MxModelCP()
,
umxSexLim()
,
umxSimplex()
,
umxSummarizeTwinData()
,
umxSummaryACE()
,
umxSummaryDoC()
,
umxSummaryGxEbiv()
,
umxSummarySexLim()
,
umxSummarySimplex()
,
umxTwinMaker()
,
umx
require(umx) data(twinData) mzData = subset(twinData, zygosity == "MZFF") dzData = subset(twinData, zygosity == "DZFF") m1 = umxACEv(selDVs = "bmi", sep = "", dzData = dzData, mzData = mzData) umxSummary(m1, std = FALSE) ## Not run: umxSummary(m1, file = NA); umxSummary(m1, file = "name", std = TRUE) stdFit = umxSummary(m1, returnStd = TRUE) ## End(Not run)
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