internal.statistics.one.logistic

Computes the summary statistics for the logistic regression fit on the given 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.statistics.one.logistic function

<dl><dt>the.data</dt>
<dd>The data table.</dd>
<dt>the.formula</dt>
<dd>A formula specifying the logistic regression model.</dd></dl>

Arguments

Internal function for Summary Statistics of Logistic Regression — internal.statistics.one.logistic

<dl>

<dt>the.data</dt>
<dd>The data table.</dd>


<dt>the.formula</dt>
<dd>A formula specifying the logistic regression model.</dd>

</dl>

internal.statistics.one.logistic: Internal function for Summary Statistics of Logistic Regression

Description

Usage

Value

Arguments