weighted_median

Robust (outlier-resistant) estimators of finite population
characteristics like of means, totals, ratios, regression, etc. Available
methods are M- and GM-estimators of regression, weight reduction,
trimming, and winsorization. The package extends the 'survey'
<https://CRAN.R-project.org/package=survey> package.

Tobias Schoch

robsurvey

Robust Survey Statistics Estimation

Beat Hulliger

Martin Sterchi

R-core 

weighted_median function

<dl> <dt>x</dt>
<dd><code>[numeric vector]</code> data.</dd> <dt>w</dt>
<dd><code>[numeric vector]</code> weights (same length as <code>x</code>).</dd> <dt>na.rm</dt>
<dd><code>[logical]</code> indicating whether <code>NA</code> values should
 be removed before the computation proceeds (default: <code>FALSE</code>).</dd></dl>

Arguments

Weighted Median — weighted_median

<dl>

 <dt>x</dt>
<dd><code>[numeric vector]</code> data.</dd>

 <dt>w</dt>
<dd><code>[numeric vector]</code> weights (same length as <code>x</code>).</dd>

 <dt>na.rm</dt>
<dd><code>[logical]</code> indicating whether <code>NA</code> values should
 be removed before the computation proceeds (default: <code>FALSE</code>).</dd>

</dl>

weighted_median: Weighted Median

Description

Usage

Value

Arguments

Details

See Also

Examples