Present results of a twin ACE-model with covariates in table and graphical forms.
Summarize a Cholesky model with covariates, as returned by umxACEcov()
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,
...
)model |
a |
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 |
optional mxModel()
Other Summary functions:
umxSummary.MxModel(),
umxSummaryCP(),
umxSummaryGxE(),
umxSummaryIP()
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)
## Not run:
umxSummaryACE(m1, file = NA)
umxSummaryACE(m1, file = "name", std = TRUE)
stdFit = umxSummaryACE(m1, returnStd = TRUE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.