compute_gk_tau_se

This ancillary function compute the standard error of Goodman-Kruskal tau. In the code, some annotations
refer to equations from Bishop, Y. M., Fienberg, S. E., &amp; Holland, P. W. (2007). Discrete Multivariate Analysis:
Theory and Practice. Springer. ISBN 9780387728056

internal

Provides the facility to perform the chi-square and G-square test of independence, calculates the retrospective power of the traditional chi-square test, compute permutation and Monte Carlo p-value, and provides measures of association for tables of any size such as Phi, Phi corrected, odds ratio with 95 percent CI and p-value, Yule' Q and Y, adjusted contingency coefficient, Cramer's V, V corrected, V standardised, bias-corrected V, W, Cohen's w, Goodman-Kruskal's lambda, and tau. It also calculates standardised, moment-corrected standardised, and adjusted standardised residuals, and their significance, as well as the Quetelet Index, IJ association factor, and adjusted standardised counts. It also computes the chi-square-maximising version of the input table. Different outputs are returned in nicely formatted tables.

Gianmarco Alberti

chisquare

Chi-Square and G-Square Test of Independence, Power and Residual
Analysis, Measures of Categorical Association

compute_gk_tau_se function

<dl><dt>cont_table</dt>
<dd>Input cross-tabulation.</dd></dl>

Arguments

Compute the standard error of Goodman-Kruskal tau for the input table — compute_gk_tau_se

<dl>

<dt>cont_table</dt>
<dd>Input cross-tabulation.</dd>

</dl>

compute_gk_tau_se: Compute the standard error of Goodman-Kruskal tau for the input table

Description

Usage

Value

Arguments