coefficent_of_variation

Calculates the (population or sample) coefficient of variation
of a given numeric vector

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts (robust) two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

Behavioral Scientists' Analysis Toolkit

coefficent_of_variation function

<dl><dt>vector</dt>
<dd>a numeric vector</dd>
<dt>pop_or_sample</dt>
<dd>should coefficient of variation be calculated for
a "population" or a "sample"?</dd></dl>

Arguments

Coefficient of variation — coefficent_of_variation

<dl>

<dt>vector</dt>
<dd>a numeric vector</dd>


<dt>pop_or_sample</dt>
<dd>should coefficient of variation be calculated for
a "population" or a "sample"?</dd>

</dl>

coefficent_of_variation: Coefficient of variation

Description

Usage

Value

Arguments

Examples