Present the results of an independent-pathway twin model in table and graphical form
Summarize a Independent Pathway model, as returned by umxIP()
umxSummaryIP(
model,
digits = 2,
file = getOption("umx_auto_plot"),
std = TRUE,
showRg = FALSE,
comparison = NULL,
CIs = FALSE,
returnStd = FALSE,
report = c("markdown", "html"),
...
)model |
A fitted |
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 |
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) |
returnStd |
Whether to return the standardized form of the model (default = FALSE) |
report |
how to display the results ("html" will open in browser as table) |
... |
Optional additional parameters |
optional mxModel()
umxIP(), plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.
Other Summary functions:
umxSummary.MxModel(),
umxSummaryACEcov(),
umxSummaryCP(),
umxSummaryGxE()
require(umx)
data(GFF) # family function and well-being data
mzData = subset(GFF, zyg_2grp == "MZ")
dzData = subset(GFF, zyg_2grp == "DZ")
selDVs = c("hap", "sat", "AD") # These will be expanded into "hap_T1" "hap_T2" etc.
m1 = umxIP(selDVs = selDVs, sep = "_T", dzData = dzData, mzData = mzData)
umxSummaryIP(m1)
plot(m1)
## Not run:
umxSummaryIP(m1, digits = 2, file = "Figure3", showRg = FALSE, CIs = TRUE);
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.