TestData

Simple function for creating a dataset of two related variables.

Primarily devoted to implementing the Univariate Bootstrap (as well as the Traditional Bootstrap). In addition there are multiple functions for DeFries-Fulker behavioral genetics models. The univariate bootstrapping functions, DeFries-Fulker functions, regression and traditional bootstrapping functions form the original core. Additional features may come online later, however this software is a work in progress. For more information about univariate bootstrapping see: Lee and Rodgers (1998) and Beasley et al (2007) <doi:10.1037/1082-989X.12.4.414>.

Patrick O'Keefe

Omisc

Univariate Bootstrapping and Other Things

TestData function

<dl><dt>nobs</dt>
<dd>Number of observations, defaults to 1000</dd>
<dt>intercept</dt>
<dd>Intercept of the regression. Defaults to 0</dd>
<dt>beta</dt>
<dd>Beta for the regression equation, defaults to 5</dd>
<dt>meanX</dt>
<dd>Mean of X, defaults to 0</dd>
<dt>sdX</dt>
<dd>Standard deviation of X, defaults to 1</dd>
<dt>sdYerr</dt>
<dd>Variance of the error term of Y, defaults to 1</dd></dl>

Arguments

TestData — TestData

<dl>

<dt>nobs</dt>
<dd>Number of observations, defaults to 1000</dd>


<dt>intercept</dt>
<dd>Intercept of the regression. Defaults to 0</dd>


<dt>beta</dt>
<dd>Beta for the regression equation, defaults to 5</dd>


<dt>meanX</dt>
<dd>Mean of X, defaults to 0</dd>


<dt>sdX</dt>
<dd>Standard deviation of X, defaults to 1</dd>


<dt>sdYerr</dt>
<dd>Variance of the error term of Y, defaults to 1</dd>

</dl>

TestData: TestData

Description

Usage

Value

Arguments

Examples