standardize_table

This ancillary function compute the standardised version of the input cross-tab using the Iterative Proportional Fitting method

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

standardize_table function

<dl><dt>table</dt>
<dd>Input cross-tabulation.</dd>
<dt>delta</dt>
<dd>The desired level of accuracy</dd>
<dt>marginal.type</dt>
<dd>The desired marginal type</dd>
<dt>custom.row.totals</dt>
<dd>Custom row totals</dd>
<dt>custom.col.totals</dt>
<dd>Custom col totals</dd></dl>

Arguments

Produce a standardised table using the Iterative Proportional Fitting method — standardize_table

<dl>

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


<dt>delta</dt>
<dd>The desired level of accuracy</dd>


<dt>marginal.type</dt>
<dd>The desired marginal type</dd>


<dt>custom.row.totals</dt>
<dd>Custom row totals</dd>


<dt>custom.col.totals</dt>
<dd>Custom col totals</dd>

</dl>

standardize_table: Produce a standardised table using the Iterative Proportional Fitting method

Description

Usage

Value

Arguments