View source: R/bruceRstats_2_scale.R
CFA  R Documentation 
An extension of lavaan::cfa()
.
CFA(
data,
model = "A =~ a[1:5]; B =~ b[c(1,3,5)]; C =~ c1 + c2 + c3",
estimator = "ML",
highorder = "",
orthogonal = FALSE,
missing = "listwise",
digits = 3,
file = NULL
)
data 
Data frame. 
model 
Model formula. See examples. 
estimator 
The estimator to be used
(for details, see lavaan options).
Defaults to

highorder 
Highorder factor. Defaults to 
orthogonal 
Defaults to 
missing 
Defaults to 
digits 
Number of decimal places of output. Defaults to 
file 
File name of MS Word ( 
A list of results returned by lavaan::cfa()
.
Alpha
, EFA
, lavaan_summary
data.cfa=lavaan::HolzingerSwineford1939
CFA(data.cfa, "Visual =~ x[1:3]; Textual =~ x[c(4,5,6)]; Speed =~ x7 + x8 + x9")
CFA(data.cfa, model="
Visual =~ x[1:3]
Textual =~ x[c(4,5,6)]
Speed =~ x7 + x8 + x9
", highorder="Ability")
data.bfi = na.omit(psych::bfi)
CFA(data.bfi, "E =~ E[1:5]; A =~ A[1:5]; C =~ C[1:5]; N =~ N[1:5]; O =~ O[1:5]")
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