fa_mixedness: Calculate mixedness metrics

In Deleetdk/kirkegaard: kirkegaard

Calculate mixedness metrics

Description

Returns 4 metrics that attempt to identify cases that are structural outliers/mixed in theor structure.

Usage

fa_mixedness(df, ...)

Arguments

df	A data.frame to calculate mixedness metrics for.
...	Parameters to fa_MAR. These get passed on to fa.

Details

MAR, mean absolute residuals. Measures the how well indicator scores can be prediced from the factor scores.

CFS, change in factor size. Measures how much the factor size changes with direction.

ACFS, absolute change in factor size. Measures how much the factor size changes without direction.

MeanALC, mean absolute loading change. Measures how much loadings are affected in general.

MaxALC, max absolute loading change. Measures the maximal loading change.

Examples

fa_mixedness(iris[-5])

Deleetdk/kirkegaard documentation built on May 2, 2024, 7:12 p.m.