parameters: check_sphericity – R documentation

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check_sphericity

Bartlett's Test of Sphericity

Description

Bartlett's (1951) test of sphericity tests whether a matrix (of correlations) is significantly different from an identity matrix. The test provides probability that the correlation matrix has significant correlations among at least some of the variables in a dataset, a prerequisite for factor analysis to work. In other words, before starting with factor analysis, one needs to check whether Bartlett’s test of sphericity is significant.

Usage

check_sphericity(x, ...)

Arguments

`x`	A dataframe.
`...`	Arguments passed to or from other methods.

Details

This function is strongly inspired by the cortest.bartlett function in the psych package (Revelle, 2016). All credit goes to its author.

Value

A list of indices related to sphericity.

References

Revelle, W. (2016). How To: Use the psych package for Factor Analysis and data reduction.
Bartlett, M. S. (1951). The effect of standardization on a Chi-square approximation in factor analysis. Biometrika, 38(3/4), 337-344.

Examples

library(parameters)
check_sphericity(mtcars)

parameters

Processing of Model Parameters

v0.13.0

GPL-3

Authors

Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab), Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>, @jeffreymgirard)

Initial release