check_factorstructure

This checks whether the data is appropriate for Factor Analysis (FA) by
running the Bartlett's Test of Sphericity and
the Kaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA).

Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see list of supported models using the
function 'insight::supported_models()'), this package implements
features like bootstrapping or simulating of parameters and models,
feature reduction (feature extraction and variable selection) as well
as functions to describe data and variable characteristics (e.g.
skewness, kurtosis, smoothness or distribution).

Daniel Lüdecke

parameters

Processing of Model Parameters

Dominique Makowski

Mattan S. Ben-Shachar

Indrajeet Patil

Søren Højsgaard

Brenton M. Wiernik

Zen J. Lau

Vincent Arel-Bundock

Jeffrey Girard

Christina Maimone

Niels Ohlsen

Douglas Ezra Morrison

Joseph Luchman

check_factorstructure function

<dl><dt>x</dt>
<dd>A dataframe.</dd>
<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd></dl>

Arguments

Check suitability of data for Factor Analysis (FA) — check_factorstructure

<dl>

<dt>x</dt>
<dd>A dataframe.</dd>


<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd>

</dl>

Check suitability of data for Factor Analysis (FA)

check_factorstructure: Check suitability of data for Factor Analysis (FA)

Description

Usage

Value

Arguments

See Also

Examples