internal.chisq.test.gf

Computes the chi-squared test for the given categorical data.

Provides tools for generating and analyzing simulation studies. Users may easily specify all terms of a simulation study, often in a single line of code. Common univariate and bivariate methods, such as t tests, proportions tests, and chi squared tests, are integrated. Multivariate studies involving linear or logistic regression may also be specified with symbolic inputs. The simulation studies generate data for n observations in each of B experiments. Analyses of each experiment are integrated, and empirical results across the experiments are also provided.

Srivastav Budugutta

simitation

Simplified Simulations

David Shilane

Mayur Bansal

internal.chisq.test.gf function

<dl><dt>x</dt>
<dd>A categorical variable.</dd>
<dt>hypothesized.probs</dt>
<dd>Hypothesized probabilities for each level of x.</dd>
<dt>correct</dt>
<dd>A logical indicating if a continuity correction should be applied.</dd></dl>

Arguments

Internal function for Chi-Squared Test of Goodness of Fit — internal.chisq.test.gf

<dl>

<dt>x</dt>
<dd>A categorical variable.</dd>


<dt>hypothesized.probs</dt>
<dd>Hypothesized probabilities for each level of x.</dd>


<dt>correct</dt>
<dd>A logical indicating if a continuity correction should be applied.</dd>

</dl>

internal.chisq.test.gf: Internal function for Chi-Squared Test of Goodness of Fit

Description

Usage

Value

Arguments