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.
umxSummaryACE(
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,
...
)
an mxModel()
to summarize.
round to how many digits (default = 2).
The name of the dot file to write: "name" = use the name of the model. Defaults to NA = do not create plot output.
you can run mxCompare on a comparison model (NULL).
Whether to standardize the output (default = TRUE).
= whether to show the genetic correlations (FALSE).
Whether to show Confidence intervals if they exist (TRUE).
If "html", then open an html table of the results.
Whether to return the standardized form of the model (default = FALSE).
how much to report (FALSE).
How to show zeros (".")
std, raw etc. Not implemented for umxACE yet.
Other parameters to control model summary.
optional mxModel()
See documentation for other umx models here: umxSummary()
.
Other Twin Reporting Functions:
umxPlotCP()
,
umxPlotDoC()
,
umxReduceACE()
,
umxReduceGxE()
,
umxReduce()
,
umxSummarizeTwinData()
,
umxSummaryACEcov()
,
umxSummaryACEv()
,
umxSummaryCP()
,
umxSummaryDoC()
,
umxSummaryGxEbiv()
,
umxSummaryGxE()
,
umxSummaryIP()
,
umxSummarySexLim()
,
umxSummarySimplex()
,
umx
# 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)
# }
# NOT RUN {
umxSummaryACE(m1, file = NA);
umxSummaryACE(m1, file = "name", std = TRUE)
stdFit = umxSummaryACE(m1, returnStd = TRUE);
# }
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