Displaying 2 results from an estimated 2 matches for "holzingerswineford1939".
2011 Oct 09
2
"What Calls What" diagram. Flow Chart?
...alculations for the function cfa are actually done and it was a
maddening chase from one function to the next, as data was
re-organized and options were filled in. lavaan's "cfa" function
reformats some options, then the work gets done by an eval.
cfa> fit <- cfa(HS.model, data=HolzingerSwineford1939)
debugging in: cfa(HS.model, data = HolzingerSwineford1939)
debug: {
mc <- match.call()
mc$model.type = as.character(mc[[1L]])
if (length(mc$model.type) == 3L)
mc$model.type <- mc$model.type[3L]
mc$int.ov.free = TRUE
mc$int.lv.free = FALSE
mc$auto.fix.first = !...
2011 Jun 08
2
Results of CFA with Lavaan
...no SD for each factor? Is that normal? When I've managed to get
sem::sem to fit a model this has not been the case.
Thanks,
Sam Stewart
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9 '
fit <- sem(HS.model, data=HolzingerSwineford1939)
summary(fit, fit.measures=TRUE)
Lavaan (0.4-8) converged normally after 35 iterations
Number of observations 301
Estimator ML
Minimum Function Chi-square 85.306
Degrees of freedom...