weighted_median

Optional non-negative case weights.

Further arguments passed to <code>weighted_quantile</code>.

Calculates weighted median. For odd sample sizes consistent with unweighted quantiles.

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_median function

<dl><dt>x</dt>
<dd>Numeric vector.</dd>
<dt>w</dt>
<dd>Optional non-negative case weights.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>weighted_quantile</code>.</dd></dl>

Arguments

Weighted Median — weighted_median

<dl>

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


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


<dt>...</dt>
<dd>Further arguments passed to <code>weighted_quantile</code>.</dd>

</dl>

weighted_median: Weighted Median

Description

Usage

Arguments

See Also

Examples