suggest_chi_squared_method

This function returns a suggested method for chi-square testing, on the basis of different criteria related to the
features of the input cross-tabulation.

internal

Provides the facility to perform the chi-square and G-square test of independence, calculates the 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, gamma, tau, Cohen's k. 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

suggest_chi_squared_method function

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

Arguments

Suggest chi-squared testing method for the input contingency table — suggest_chi_squared_method

<dl>

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

</dl>

suggest_chi_squared_method: Suggest chi-squared testing method for the input contingency table

Description

Usage

Value

Arguments