cluster_xsq {cacc}R Documentation

Chi-Square Goodness-of-Fit Test

Description

Computes a Chi-Square Goodness-of-Fit Test to determine whether there is statistically significant clustering of observations among dominant profiles in a cacc_matrix.

Usage

cluster_xsq(cacc_matrix)

Arguments

cacc_matrix

A tibble. The output of the cacc function.

Value

Returns a list with the Chi-square results. This is the same object returned by the chisq.test function from the stats package.

References

Hart, T. C. (2019). Identifying Situational Clustering and Quantifying Its Magnitude in Dominant Case Configurations: New Methods for Conjunctive Analysis. Crime & Delinquency, 66(1), 143-159. https://doi.org/10.1177/0011128719866123

Examples

cluster_xsq(cacc(onharassment, ivs = sex:privacy, dv = rep_victim))

[Package cacc version 0.1.0 Index]