umx (version 1.4.0)

umxSummaryACEcov: umxSummaryACEcov

Description

Summarise a Cholesky model as returned by umxACEcov

Usage

umxSummaryACEcov(model, digits = 2, file = getOption("umx_auto_plot"), returnStd = FALSE, extended = FALSE, showRg = FALSE, std = TRUE, comparison = NULL, CIs = TRUE, zero.print = ".", report = c("1", "2", "html"), ...)

Arguments

model

a umxACEcov model to summarize

digits

round to how many digits (default = 2)

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)

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.

...

Other parameters to control model summary

Value

- optional mxModel

References

- http://tbates.github.io, https://github.com/tbates/umx

See Also

- umxACEcov

Other Twin Modeling Functions: plot.MxModel, umxACESexLim, umxACEcov, umxACE, umxCF_SexLim, umxCP, umxGxE_window, umxGxE, umxIP, umxPlotACEcov, umxPlotCP, umxPlotGxE, umxPlotIP, umxSummaryACE, umxSummaryCP, umxSummaryGxE, umxSummaryIP, umx_make_TwinData, umx

Examples

require(umx)
data(twinData)
labList = c("MZFF", "MZMM", "DZFF", "DZMM", "DZOS")
twinData$ZYG = factor(twinData$zyg, levels = 1:5, labels = labList)
selDVs = c("bmi1", "bmi2")
mzData <- subset(twinData, ZYG == "MZFF", selDVs)
dzData <- subset(twinData, ZYG == "DZFF", selDVs)
m1 = umxACE(selDVs = selDVs, dzData = dzData, mzData = mzData)
m1 = umxRun(m1)
umxSummaryACE(m1)
## Not run: 
# umxSummaryACE(m1, file = NA);
# umxSummaryACE(m1, file = "name", std = TRUE)
# stdFit = umxSummaryACE(m1, returnStd = TRUE);
# ## End(Not run)