Fit Measures for a Latent Variable Model
This function computes a variety of fit measures to assess the global fit of a latent variable model.
fitMeasures(object, fit.measures = "all", baseline.model = NULL,
output = "vector", ...)
fitmeasures(object, fit.measures = "all", baseline.model = NULL,
output = "vector", ...)object |
An object of class |
fit.measures |
If |
baseline.model |
If not NULL, an object of class
|
output |
Character. If |
... |
Further arguments passed to or from other methods. Not currently
used for |
A named numeric vector of fit measures.
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit <- cfa(HS.model, data=HolzingerSwineford1939)
fitMeasures(fit)
fitMeasures(fit, "cfi")
fitMeasures(fit, c("chisq", "df", "pvalue", "cfi", "rmsea"))
fitMeasures(fit, c("chisq", "df", "pvalue", "cfi", "rmsea"),
output = "matrix")
print(fitMeasures(fit, c("chisq", "df", "pvalue", "cfi", "rmsea"),
output = "text"), add.h0 = TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.