Returns the estimated coefficient of variation or the unbiased estimate of the coefficient of variation.

htest

design

Implements methods that are useful in designing research studies and analyzing data, with
particular emphasis on methods that are developed for or used within the behavioral,
educational, and social sciences (broadly defined). That being said, many of the methods
implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a
suite of functions for a variety of related topics, such as effect sizes, confidence intervals
for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size
planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and
minimum-risk point estimation perspectives), mediation analysis, various properties of
distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally
an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but MBESS became
more general and now contains methods applicable and used in a wide variety of fields and is an
orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has
greatly benefited from others, see <https://www3.nd.edu/~kkelley/site/MBESS.html> for a detailed
list of those that have contributed and other details.

Ken Kelley

MBESS

The MBESS R Package

cv function

<dl> <dt>C.of.V</dt>
<dd>Usual estimate of the coefficient of variation (<code>C.of.V=sd/mean</code>)</dd> <dt>mean</dt>
<dd>observed mean</dd> <dt>sd</dt>
<dd>observed standard deviation (based on <code>N</code>-1 in the denominator of the variance)</dd> <dt>N</dt>
<dd>sample size</dd>
 <dt>unbiased</dt>
<dd>return the unbiased estimate of the coefficient of variation</dd></dl>

Arguments

Ken Kelley (University of Notre Dame; <a href="/link/KKelley%40ND.Edu?package=MBESS&version=4.9.3" data-mini-rdoc="MBESS::KKelley@ND.Edu">KKelley@ND.Edu</a>)

Author

Function to calculate the regular (which is also biased) estimate of the coefficient of variation or the unbiased estimate of the coefficient of variation. — cv

<dl>

 <dt>C.of.V</dt>
<dd>Usual estimate of the coefficient of variation (<code>C.of.V=sd/mean</code>)</dd>

 <dt>mean</dt>
<dd>observed mean</dd>

 <dt>sd</dt>
<dd>observed standard deviation (based on <code>N</code>-1 in the denominator of the variance)</dd>

 <dt>N</dt>
<dd>sample size</dd>


 <dt>unbiased</dt>
<dd>return the unbiased estimate of the coefficient of variation</dd>

</dl>

Ken Kelley (University of Notre Dame; <a href='mailto:KKelley@ND.Edu'>KKelley@ND.Edu</a>)

Function to calculate the regular (which is also biased) estimate of the coefficient of variation or the unbiased estimate of the coefficient of variation.

cv: Function to calculate the regular (which is also biased) estimate of the coefficient of variation or the unbiased estimate of the coefficient of variation.

Description

Usage

Value

Arguments

Author

Details

See Also

Examples