Plot the results of a GxE univariate test for moderation of ACE components.
Plot GxE results (univariate environmental moderation of ACE components). Options include plotting the raw and standardized graphs separately, or in a combined panel. You can also set the label for the x axis (xlab), and choose the location of the legend.
umxPlotGxE(
x,
xlab = NA,
location = "topleft",
separateGraphs = FALSE,
acergb = c("red", "green", "blue", "black"),
gg = TRUE,
moderatorValues = NULL,
...
)x |
A fitted |
xlab |
String to use for the x label (default = NA, which will use the variable name) |
location |
Where to plot the legend (default = "topleft") see ?legend for alternatives like bottomright |
separateGraphs |
(default = FALSE) |
acergb |
Colors to use for plot c(a = "red", c = "green", e = "blue", tot = "black") |
gg |
Use ggplot2 (default = TRUE) |
moderatorValues |
If you want to pass in your own list of moderator values instead of the real ones in the data (Default = NULL) |
... |
Optional additional parameters |
note: If gg=TRUE, the plots are drawn in ggplot, and also returned as a list(raw, std) so you can edit them.
None
plot(), umxSummary() work for IP, CP, GxE, SAT, and ACE models.
Other Plotting functions:
plot.MxLISRELModel(),
plot.MxModelTwinMaker(),
plot.MxModel(),
umxPlotACEcov(),
umxPlotACEv(),
umxPlotACE(),
umxPlotCP(),
umxPlotDoC(),
umxPlotFun(),
umxPlotGxEbiv(),
umxPlotIP(),
umxPlotSexLim(),
umxPlotSimplex(),
umx
## Not run: require(umx) data(twinData) twinData$age1 = twinData$age2 = twinData$age mzData = subset(twinData, zygosity == "MZFF") dzData = subset(twinData, zygosity == "DZFF") m1= umxGxE(selDVs= "bmi", selDefs= "age", dzData= dzData, mzData= mzData, sep="", tryHard="yes") plot(m1) # Directly call umxPlotGxE umxPlotGxE(m1, xlab = "Age", separateGraphs = TRUE, gg = FALSE) umxPlotGxE(m1, moderatorValues=18:67) ## End(Not run)
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