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lav_samplestats

lavaan samplestats functions


Description

Utility functions related to the sample statistics

Usage

# 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)

# 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)

lavaan

Latent Variable Analysis

v0.6-10
GPL (>= 2)
Authors
Yves Rosseel [aut, cre] (<https://orcid.org/0000-0002-4129-4477>), Terrence D. Jorgensen [aut] (<https://orcid.org/0000-0001-5111-6773>), Nicholas Rockwood [aut] (<https://orcid.org/0000-0001-5931-183X>), Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsikatsou [ctb], Mariska Barendse [ctb], Florian Scharf [ctb], Han Du [ctb]
Initial release

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