weighted_mean

Optional non-negative, non-missing case weights.

Further arguments passed to <code>mean</code> or <code>weighted.mean</code>.

Returns weighted mean of a numeric vector. In contrast to <code><a href="/link/stats%3A%3Aweighted.mean?package=MetricsWeighted&version=0.5.4" data-mini-rdoc="MetricsWeighted::stats::weighted.mean">stats::weighted.mean</a></code>, <code>w</code> does not need to be specified.

Provides weighted versions of several metrics, scoring
functions and performance measures used in machine learning, including
average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma
distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The
package also contains a weighted version of generalized R-squared, see
e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore,
'dplyr' chains are supported.

Michael Mayer

MetricsWeighted

Weighted Metrics, Scoring Functions and Performance Measures for
Machine Learning

Christian Lorentzen

weighted_mean function

<dl><dt>x</dt>
<dd>Numeric vector.</dd>
<dt>w</dt>
<dd>Optional non-negative, non-missing case weights.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>mean</code> or <code>weighted.mean</code>.</dd></dl>

Arguments

Returns weighted mean of a numeric vector. In contrast to <code><a href='https://rdrr.io/r/stats/weighted.mean.html'>stats::weighted.mean</a></code>, <code>w</code> does not need to be specified.

Weighted Mean — weighted_mean

<dl>

<dt>x</dt>
<dd>Numeric vector.</dd>


<dt>w</dt>
<dd>Optional non-negative, non-missing case weights.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code>mean</code> or <code>weighted.mean</code>.</dd>

</dl>

weighted_mean: Weighted Mean

Description

Usage

Value

Arguments

See Also

Examples