estimateDifferenceZeroCrossing

Studentized estimate of how often a difference is below zero.

Succinctly and correctly format statistical summaries of
various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance).
This package also includes empirical tests, such as Monte Carlo and bootstrap distribution estimates.

John Mount

sigr

Succinct and Correct Statistical Summaries for Reports

Nina Zumel

 Win-Vector LLC

estimateDifferenceZeroCrossing function

<dl><dt>resampledDiffs</dt>
<dd>numeric vector resampled observations</dd>
<dt>na.rm</dt>
<dd>logical, if TRUE remove NA values</dd></dl>

Arguments

Studentized estimate of how often a difference is below zero. — estimateDifferenceZeroCrossing

<dl>

<dt>resampledDiffs</dt>
<dd>numeric vector resampled observations</dd>


<dt>na.rm</dt>
<dd>logical, if TRUE remove NA values</dd>

</dl>

estimateDifferenceZeroCrossing: Studentized estimate of how often a difference is below zero.

Description

Usage

Value

Arguments

Examples