umx (version 1.9.1)

umxSummaryIP: Present the results of an independent-pathway twin model in table and graphical form

Description

Summarize a Independent Pathway model, as returned by umxIP

Usage

umxSummaryIP(model, digits = 2, file = getOption("umx_auto_plot"),
  returnStd = FALSE, std = TRUE, showRg = FALSE, comparison = NULL,
  CIs = FALSE, ...)

Arguments

model

A fitted umxIP 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)

std

= Whether to show the standardized model (TRUE)

showRg

= whether to show the genetic correlations (FALSE)

comparison

Whether to run mxCompare on a comparison model (NULL)

CIs

Confidence intervals (F)

...

Optional additional parameters

Value

- optional mxModel

References

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

See Also

- umxIP(), plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.

Other Twin Modeling Functions: plot.MxModel, umxACESexLim, umxACE_cov_fixed, umxACEcov, umxACEv, umxACE, umxCF_SexLim, umxCP, umxGxE_window, umxGxE, umxIP, umxPlotACEcov, umxPlotCP, umxPlotGxE, umxPlotIP, umxReduceACE, umxSummaryACEcov, umxSummaryACEv, umxSummaryACE, umxSummaryCP, umxSummaryGxE, umx_long2wide, umx_wide2long, umx, xmu_twin_check

Examples

# NOT RUN {
require(umx)
data(twinData)
selDVs = c("ht1", "wt1", "ht2", "wt2")
mzData <- subset(twinData, zygosity == "MZFF")
dzData <- subset(twinData, zygosity == "DZFF")
m1 = umxIP(selDVs = selDVs, dzData = dzData, mzData = mzData)
m1 = umxRun(m1)
umxSummaryIP(m1)
plot(m1)
# }
# NOT RUN {
umxSummaryIP(m1, digits = 2, file = "Figure3", showRg = FALSE, CIs = TRUE);
# }