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mxModel
s. It has several nice features:
1. It supports direct control of rounding, and reports p-values rounded to APA style.
2. It reports the table in your preferred markdown format (relies on knitr)
3. The table columns are arranged in a method suitable for easy comparison for readers.
4. By default, it also reports the output as an ENglish sentence suitable for a paper.
5. It can open tabular output in a browser (report = "html")
umxCompare(base = NULL, comparison = NULL, all = TRUE, digits = 3, report = c("2", "1", "html"), file = "tmp.html")
mxModel
for comparisonmxCompare
, umxSummary
, umxRAM
,Other Reporting functions: RMSEA.MxModel
,
RMSEA.summary.mxmodel
, RMSEA
,
confint.MxModel
,
extractAIC.MxModel
, loadings
,
logLik.MxModel
, plot.MxModel
,
residuals.MxModel
,
umxCI_boot
, umxCI
,
umxExpCov
, umxExpMeans
,
umxFitIndices
, umxPlotACEcov
,
umxPlotACE
, umxPlotCP
,
umxPlotGxE
, umxPlotIP
,
umxSummary.MxModel
,
umxSummaryACE
, umx_drop_ok
,
umx_standardize_RAM
require(umx)
data(demoOneFactor)
latents = c("G")
manifests = names(demoOneFactor)
m1 <- mxModel("One Factor", type = "RAM",
manifestVars = manifests, latentVars = latents,
mxPath(from = latents, to = manifests),
mxPath(from = manifests, arrows = 2),
mxPath(from = latents, arrows = 2, free = FALSE, values = 1.0),
mxData(cov(demoOneFactor), type = "cov", numObs = 500)
)
m1 = umxRun(m1, setLabels = TRUE, setValues = TRUE)
m2 = umxModify(m1, update = "G_to_x2", name = "drop_path_2_x2")
umxCompare(m1, m2)
mxCompare(m1, m2) # what OpenMx gives by default
umxCompare(m1, m2, report = "2") # Add English-sentence descriptions
## Not run:
# umxCompare(m1, m2, report = "html") # Open table in browser
# ## End(Not run)
m3 = umxModify(m2, update = "G_to_x3", name = "drop_path_2_x2_and_3")
umxCompare(m1, c(m2, m3))
umxCompare(c(m1, m2), c(m2, m3), all = TRUE)
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