Make a graphical display of an ACE model with covariates.
Make a graphical display of an ACE model with covariates.
umxPlotACEcov( x = NA, file = "name", digits = 2, means = FALSE, std = TRUE, strip_zero = TRUE, ... )
x |
|
file |
The name of the dot file to write: NA = none; "name" = use the name of the model |
digits |
How many decimals to include in path loadings (default is 2) |
means |
Whether to show means paths (default is FALSE) |
std |
Whether to standardize the model (default is TRUE) |
strip_zero |
Whether to strip the leading "0" and decimal point from parameter estimates (default = TRUE) |
... |
Additional (optional) parameters |
optionally return the dot code
plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.
Other Plotting functions:
plot.MxLISRELModel(),
plot.MxModelTwinMaker(),
plot.MxModel(),
umxPlotACEv(),
umxPlotACE(),
umxPlotCP(),
umxPlotDoC(),
umxPlotFun(),
umxPlotGxEbiv(),
umxPlotGxE(),
umxPlotIP(),
umxPlotSexLim(),
umxPlotSimplex(),
umx
require(umx)
# BMI ?twinData from Australian twins.
# Cohort 1 Zygosity 1 == MZ females 3 == DZ females
data(twinData)
# Pick the variables. We will use base names (i.e., "bmi") and set suffix.
selDVs = c("bmi")
selCovs = c("ht")
selVars = umx_paste_names(c(selDVs, selCovs), sep = "", suffixes= 1:2)
# Just top few pairs so example runs quickly
mzData = subset(twinData, zygosity == "MZFF", selVars)[1:100, ]
dzData = subset(twinData, zygosity == "DZFF", selVars)[1:100, ]
m1 = umxACEcov(selDVs= selDVs, selCovs= selCovs, dzData= dzData, mzData= mzData, sep= "")
plot(m1)
plot(m1, std = FALSE) # don't standardizePlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.