xHasEnoughValues

This function checks if there are at least minRequiredValues
values in the introduced vector.

A framework with tools to compare two random variables via stochastic dominance. See the README.md at <https://github.com/EtorArza/RVCompare> for a quick start guide. It can compute the Cp and Cd of two probability distributions and the Cumulative Difference Plot as explained in E. Arza (2022) <doi:10.1080/10618600.2022.2084405>. Uses bootstrap or DKW-bounds to compute the confidence bands of the cumulative distributions. These two methods are described in B. Efron. (1979) <doi:10.1214/aos/1176344552> and P. Massart (1990) <doi:10.1214/aop/1176990746>.

Etor Arza

RVCompare

Compare Real Valued Random Variables

xHasEnoughValues function

<dl><dt>X</dt>
<dd>the array with the values.</dd>
<dt>minRequiredValues</dt>
<dd>the minimum number values required to return TRUE.</dd></dl>

Arguments

Check for enough values. — xHasEnoughValues

<dl>

<dt>X</dt>
<dd>the array with the values.</dd>


<dt>minRequiredValues</dt>
<dd>the minimum number values required to return TRUE.</dd>

</dl>

xHasEnoughValues: Check for enough values.

Description

Usage

Value

Arguments

Examples