Compute the coefficient of variation.

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

cv function

<dl><dt>x</dt>
<dd>Fitted linear model of class <code>lm</code>, <code>merMod</code> (lme4)
or <code>lme</code> (nlme).</dd>
<dt>...</dt>
<dd>More fitted model objects, to compute multiple coefficients of
variation at once.</dd></dl>

Arguments

Compute model quality — cv

<dl>

<dt>x</dt>
<dd>Fitted linear model of class <code>lm</code>, <code>merMod</code> (lme4)
or <code>lme</code> (nlme).</dd>


<dt>...</dt>
<dd>More fitted model objects, to compute multiple coefficients of
variation at once.</dd>

</dl>

cv: Compute model quality

Description

Usage

Value

Arguments

Details

Examples