buildsim.normal

This internal function generates data based on a normal distribution specified
by the provided formula. It is not intended for direct usage by 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.normal function

<dl><dt>the.formula</dt>
<dd>A character string specifying the normal distribution function, e.g., "N(0,1)".</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.</dd></dl>

Arguments

Internal Simulation for Normally Distributed Data — buildsim.normal

<dl>

<dt>the.formula</dt>
<dd>A character string specifying the normal distribution function, e.g., "N(0,1)".</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.</dd>

</dl>

buildsim.normal: Internal Simulation for Normally Distributed Data

Description

Usage

Value

Arguments