<code>gmd()</code> computes Gini's mean difference for a numeric vector
 or for all numeric vectors in a data frame.

Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical measures,
which otherwise could only be calculated with additional effort
(like Cramer's V, Phi, or effect size statistics like Eta or Omega squared),
or for which currently no functions available. Second, another focus
lies on weighted variants of common statistical measures and tests
like weighted standard error, mean, t-test, correlation, and more.

Daniel Lüdecke

sjstats

Collection of Convenient Functions for Common Statistical
Computations

gmd function

<dl><dt>x</dt>
<dd>A vector or data frame.</dd>
<dt>...</dt>
<dd>Optional, unquoted names of variables that should be selected for
further processing. Required, if <code>x</code> is a data frame (and no vector)
and only selected variables from <code>x</code> should be processed. You may also
use functions like <code>:</code> or tidyselect's <code>select_helpers()</code>.</dd></dl>

Arguments

Gini's Mean Difference — gmd

<dl>

<dt>x</dt>
<dd>A vector or data frame.</dd>


<dt>...</dt>
<dd>Optional, unquoted names of variables that should be selected for
further processing. Required, if <code>x</code> is a data frame (and no vector)
and only selected variables from <code>x</code> should be processed. You may also
use functions like <code>:</code> or tidyselect's <code>select_helpers()</code>.</dd>

</dl>

gmd: Gini's Mean Difference

Description

Usage

Value

Arguments

References

Examples