Plot a Direction of Causation Model.
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 pasted into, e.g. Word.
umxPlotDoC(
x = NA,
means = FALSE,
std = TRUE,
digits = 2,
showFixed = TRUE,
file = "name",
format = c("current", "graphviz", "DiagrammeR"),
SEstyle = FALSE,
strip_zero = FALSE,
...
)x |
a |
means |
Whether to show means paths (defaults to FALSE) |
std |
Whether to standardize the model (defaults to TRUE) |
digits |
How many decimals to include in path loadings (defaults to 2) |
showFixed |
Whether to graph paths that are fixed but != 0 (default = TRUE) |
file |
The name of the dot file to write: NA = none; "name" = use the name of the model |
format |
= c("current", "graphviz", "DiagrammeR") |
SEstyle |
report "b (se)" instead of "b [lower, upper]" when CIs are found (Default FALSE) |
strip_zero |
Whether to strip the leading "0" and decimal point from parameter estimates (default = TRUE) |
... |
Other parameters to control model summary. |
See documentation for other umx models here: umxSummary().
Optionally return the dot code
Other Plotting functions:
plot.MxLISRELModel(),
plot.MxModelTwinMaker(),
plot.MxModel(),
umxPlotACEcov(),
umxPlotACEv(),
umxPlotACE(),
umxPlotCP(),
umxPlotFun(),
umxPlotGxEbiv(),
umxPlotGxE(),
umxPlotIP(),
umxPlotSexLim(),
umxPlotSimplex(),
umx
## 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")
plot(a2b)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.