umx (version 1.4.9)

plot.MxModel: Create a graphical figure from an MxModel

Description

Create graphical path diagrams from your OpenMx models!

Usage

"plot"(x = NA, std = FALSE, digits = 2, file = "name", pathLabels = c("none", "labels", "both"), fixed = TRUE, means = TRUE, resid = c("circle", "line", "none"), showFixed = TRUE, showMeans = NULL, ...)

Arguments

x

An mxModel from which to make a path diagram

std

Whether to standardize the model (default = FALSE).

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

pathLabels

Whether to show labels on the paths. both will show both the parameter and the label. ("both", "none" or "labels")

fixed

Whether to show fixed paths (defaults to TRUE)

means

Whether to show means or not (default = TRUE)

resid

How to show residuals and variances default is "circle". Options are "line" & "none"

showFixed

Deprecated: just use 'fixed = TRUE'

showMeans

Deprecated: just use 'means = TRUE'

...

Optional parameters

Details

plot() produces SEM diagrams in graphviz format, and relies on DiagrammeR (or a graphviz application) to create the image. 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.

If you use umx_set_plot_format("graphviz"), files will open in with a graphviz helper.

Note: DiagrammeR is supported out of the box. If you use graphviz, we try and use that app, but YOU HAVE TO INSTALL IT! On OS X we try and open an app: you may need to associate the ‘.gv’ extension with the graphviz app. Find the .gv file made by plot, get info (cmd-I), then choose “open with”, select Graphviz.app (or OmniGraffle professional), then set “change all”.

References

- http://www.github.com/tbates/umx, https://en.wikipedia.org/wiki/DOT_(graph_description_language)

See Also

- umx_set_plot_format, plot.MxModel, umxPlotACE, umxPlotCP, umxPlotIP, umxPlotGxE,

Other Core Modelling Functions: umxDiagnose, umxLatent, umxMatrix, umxPath, umxRAM, umxReduce, umxRun, umx

Other Plotting functions: umxPlotACEcov, umxPlotACE, umxPlotCP, umxPlotGxE, umxPlotIP

Other Reporting functions: RMSEA.MxModel, RMSEA.summary.mxmodel, RMSEA, confint.MxModel, extractAIC.MxModel, loadings, logLik.MxModel, residuals.MxModel, umxCI_boot, umxCI, umxCompare, umxExpCov, umxExpMeans, umxFitIndices, umxPlotACEcov, umxPlotACE, umxPlotCP, umxPlotGxE, umxPlotIP, umxSummary.MxModel, umxSummaryACE, umx_drop_ok, umx_standardize_RAM

Other Twin Modeling Functions: umxACESexLim, umxACEcov, umxACE, umxCF_SexLim, umxCP, umxGxE_window, umxGxE, umxIP, umxPlotACEcov, umxPlotCP, umxPlotGxE, umxPlotIP, umxSummaryACEcov, umxSummaryACE, umxSummaryCP, umxSummaryGxE, umxSummaryIP, umx_make_TwinData, umx

Examples

require(umx)
data(demoOneFactor)
latents  = c("G")
manifests = names(demoOneFactor)
m1 <- umxRAM("One Factor", data = mxData(cov(demoOneFactor), type = "cov", numObs = 500),
	umxPath(latents, to = manifests),
	umxPath(var = manifests),
	umxPath(var = latents, fixedAt = 1.0)
)
plot(m1)