cnonct

Calculates the non-centrality parameter for a chi-square distribution for a given 
quantile. This is often needed for sample size calculation for chi-square based tests.

Implements a generalization of the Cochran-Armitage trend test to
multinomial data. In addition to an overall test, multiple testing adjusted
p-values for trend in individual outcomes and power calculation is
available.

Aniko Szabo

multiCA

Multinomial Cochran-Armitage Trend Test

cnonct function

<dl><dt>x</dt>
<dd>a numeric value at which the distribution was evaluated</dd>
<dt>p</dt>
<dd>a numeric value giving the cumulative probability at <code>x</code></dd>
<dt>df</dt>
<dd>an integer giving the degrees of freedom of the chi-square variable</dd></dl>

Arguments

Non-centrality parameter for chi-square distribution — cnonct

<dl>

<dt>x</dt>
<dd>a numeric value at which the distribution was evaluated</dd>


<dt>p</dt>
<dd>a numeric value giving the cumulative probability at <code>x</code></dd>


<dt>df</dt>
<dd>an integer giving the degrees of freedom of the chi-square variable</dd>

</dl>

cnonct: Non-centrality parameter for chi-square distribution

Description

Usage

Arguments

Details

Examples