umxSummaryDoC: Shows a compact, publication-style, summary of a umx...

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

Shows a compact, publication-style, summary of a umx Direction of Causation model

Description

Summarize a fitted model returned by umxDoC(). 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.

Usage

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

Arguments

model	a fitted umxDoC() model to summarize.
digits	round to how many digits (default = 2).
comparison	Run mxCompare on a comparison model (default NULL)
std	Whether to standardize the output (default = TRUE).
showRg	= whether to show the genetic correlations (FALSE).
CIs	Whether to show Confidence intervals if they exist (TRUE).
report	Print tables to the console (as 'markdown'), or open in browser ('html')
file	The name of the dot file to write: "name" = use the name of the model. Defaults to NA = do not create plot output.
returnStd	Whether to return the standardized form of the model (default = FALSE).
zero.print	How to show zeros (".")
...	Other parameters to control model summary.

Details

See documentation for other umx models here: umxSummary().

Value

• optional OpenMx::mxModel()

See Also

• umxDoC(), plot.MxModelDoC(), umxModify(), umxCP(), plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.

Other Twin Modeling Functions: power.ACE.test(), umx, umxACE(), umxACEcov(), umxACEv(), umxCP(), umxDiffMZ(), umxDiscTwin(), umxDoC(), umxDoCp(), umxGxE(), umxGxE_window(), umxGxEbiv(), umxIP(), umxMRDoC(), umxReduce(), umxReduceACE(), umxReduceGxE(), umxRotate.MxModelCP(), umxSexLim(), umxSimplex(), umxSummarizeTwinData(), umxSummaryACE(), umxSummaryACEv(), umxSummaryGxEbiv(), umxSummarySexLim(), umxSummarySimplex(), umxTwinMaker()

Examples

## Not run: 
# ================
# = 1. Load Data =
# ================
data(docData)
mzData = subset(docData, zygosity %in% c("MZFF", "MZMM"))
dzData = subset(docData, zygosity %in% c("DZFF", "DZMM"))

# =======================================
# = 2. Define manifests for var 1 and 2 =
# =======================================
var1 = paste0("varA", 1:3)
var2 = paste0("varB", 1:3)

# =======================================================
# = 2. Make the non-causal (Cholesky) and causal models =
# =======================================================
Chol= umxDoC(var1= var1, var2= var2, mzData= mzData, dzData= dzData, causal= FALSE)
DoC = umxDoC(var1= var1, var2= var2, mzData= mzData, dzData= dzData, causal= TRUE)

# ================================================
# = Make the directional models by modifying DoC =
# ================================================
A2B = umxModify(DoC, "a2b", free = TRUE, name = "A2B")
A2B = umxModify(DoC, "a2b", free = TRUE, name = "A2B", comp=TRUE)
B2A = umxModify(DoC, "b2a", free = TRUE, name = "B2A", comp=TRUE)
umxCompare(B2A, A2B)


## End(Not run)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.