buildsim.binary

This function is designed to generate binary data based on the provided formula.
It is an internal function and is not meant for end-users.

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

buildsim.binary function

<dl><dt>the.formula</dt>
<dd>A character string specifying the distribution function, e.g., "binary(0.5)".</dd>
<dt>the.variable</dt>
<dd>A character string naming the variable in the generated data.</dd>
<dt>n</dt>
<dd>An integer specifying the number of data points to generate for each experiment.</dd>
<dt>num.experiments</dt>
<dd>An integer specifying the number of experiments to simulate. Default is 1.</dd></dl>

Arguments

Internal function for Simulation for Binary Data — buildsim.binary

<dl>

<dt>the.formula</dt>
<dd>A character string specifying the distribution function, e.g., "binary(0.5)".</dd>


<dt>the.variable</dt>
<dd>A character string naming the variable in the generated data.</dd>


<dt>n</dt>
<dd>An integer specifying the number of data points to generate for each experiment.</dd>


<dt>num.experiments</dt>
<dd>An integer specifying the number of experiments to simulate. Default is 1.</dd>

</dl>

buildsim.binary: Internal function for Simulation for Binary Data

Description

Usage

Value

Arguments