lavaan samplestats functions — lav

Utility functions related to the sample statistics

# generate samplestats object from full data
lav_samplestats_from_data(lavdata = NULL, lavoptions = NULL, 
                          WLS.V = NULL, NACOV = NULL)

Arguments

lavdata: A lavdata object.
lavoptions: A named list. The Options lsot from a lavaan object.
WLS.V: A user provided weight matrix.
NACOV: A user provided matrix containing the elements of (N times) the asymptotic variance-covariance matrix of the sample statistics. For a multiple group analysis, a list with an asymptotic variance-covariance matrix for each group.

Examples

# generate syntax for an independence model
HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
#> Warning: lavaan->lav_model_vcov():  
#>    The variance-covariance matrix of the estimated parameters (vcov) does not 
#>    appear to be positive definite! The smallest eigenvalue (= -1.747972e-02) 
#>    is smaller than zero. This may be a symptom that the model is not 
#>    identified.

# extract data slot and options
lavdata <- fit@Data
lavoptions <- lavInspect(fit, "options")

# generate sample statistics object
sampleStats <- lav_samplestats_from_data(lavdata = lavdata, 
                                         lavoptions = lavoptions)