plot.MxModelTwinMaker | R Documentation |
Assumes the model has a group called "MZ" inside.
## S3 method for class 'MxModelTwinMaker'
plot(
x = NA,
std = FALSE,
fixed = TRUE,
means = TRUE,
oneTwin = TRUE,
sep = "_T",
digits = 2,
file = "name",
labels = c("none", "labels", "both"),
resid = c("circle", "line", "none"),
strip_zero = FALSE,
splines = TRUE,
min = NULL,
same = NULL,
max = NULL,
...
)
x |
A |
std |
Whether to standardize the model (default = FALSE) |
fixed |
Whether to show fixed paths (defaults to TRUE) |
means |
Whether to show means or not (default = TRUE) |
oneTwin |
(whether to plot a pair of twins, or just one (default = TRUE) |
sep |
The separator for twin variables ("_T") |
digits |
The number of decimal places to add to the path coefficients |
file |
The name of the dot file to write: NA = none; "name" = use the name of the model |
labels |
Whether to show labels on the paths. "none", "labels", or "both" (parameter + label). |
resid |
How to show residuals and variances default is "circle". Options are "line" & "none" |
strip_zero |
Whether to strip the leading "0" and decimal point from parameter estimates (default = FALSE) |
splines |
Whether to allow lines to curve: defaults to TRUE (nb: some models look better with FALSE) |
min |
optional list of objects to group at the top of the plot. Default (NULL) chooses automatically. |
same |
optional list of objects to group at the same rank in the plot. Default (NULL) chooses automatically. |
max |
optional list of objects to group at the bottom of the plot. Default (NULL) chooses automatically. |
... |
Optional parameters |
If you use umx_set_plot_format("graphviz"), they will open in a graphviz helper app (if installed).
The commercial application “OmniGraffle” is great for editing these images.
On unix and windows, plot()
will create a pdf and open it in your default pdf reader.
umx_set_plot_format()
, plot.MxModel()
, umxPlotACE()
, umxPlotCP()
, umxPlotIP()
, umxPlotGxE()
Other Plotting functions:
ggAddR()
,
plot.MxLISRELModel()
,
plot.MxModel()
,
umxPlotACEcov()
,
umxPlotACEv()
,
umxPlotACE()
,
umxPlotCP()
,
umxPlotDoC()
,
umxPlotFun()
,
umxPlotGxEbiv()
,
umxPlotGxE()
,
umxPlotIP()
,
umxPlotSexLim()
,
umxPlotSimplex()
,
umxPlot()
,
umx
## Not run:
require(umx)
#
# =====================
# = Make an ACE model =
# =====================
# 1. Clean data: Add separator and scale
data(twinData)
tmp = umx_make_twin_data_nice(data=twinData, sep="", zygosity="zygosity", numbering=1:2)
tmp = umx_scale_wide_twin_data(varsToScale= c("wt", "ht"), sep= "_T", data= tmp)
mzData = subset(tmp, zygosity %in% c("MZFF", "MZMM"))
dzData = subset(tmp, zygosity %in% c("DZFF", "DZMM"))
# 2. Define paths: You only need the paths for one person:
paths = c(
umxPath(v1m0 = c("a1", 'c1', "e1")),
umxPath(means = c("wt")),
umxPath(c("a1", 'c1', "e1"), to = "wt", values=.2)
)
m1 = umxTwinMaker("test", paths, mzData = mzData, dzData= dzData)
plot(m1, std= TRUE, means= FALSE)
plot(m1, means=FALSE, std=TRUE, strip=TRUE, splines="FALSE", max="intercept")
## End(Not run) # end dontrun
# =================
# = An ACEv model =
# =================
# Not complete
paths = c(
umxPath(v1m0 = c("A1", 'C1', "E1")),
umxPath(v1m0 = c("A2", 'C2', "E2")),
umxPath(v.m0 = c("l1", 'l2')),
umxPath(v.m. = c("wt", "ht")),
umxPath(c("A1", 'C1', "E1"), to = "l1", values= .2),
umxPath(c("A2", 'C2', "E2"), to = "l2", values= .2),
umxPath(c("l1", 'l2'), to = c("wt", "ht"), values= .2)
)
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