n_rank

This is simply a wrapper for <code><a href="/link/base%3A%3Arank()?package=COINr&version=1.1.14" data-mini-rdoc="COINr::base::rank()">base::rank()</a></code>. Higher scores will give higher ranks.

A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment"
for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation,
data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for
principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single
hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons.
It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.

William Becker

COINr

Composite Indicator Construction and Analysis

n_rank function

<dl><dt>x</dt>
<dd>A numeric vector</dd>
<dt>ties.method</dt>
<dd>This argument is passed to <code><a href="/link/base%3A%3Arank()?package=COINr&version=1.1.14" data-mini-rdoc="COINr::base::rank()">base::rank()</a></code> - see there for details.</dd></dl>

Arguments

This is simply a wrapper for <code><a href='https://rdrr.io/r/base/rank.html'>base::rank()</a></code>. Higher scores will give higher ranks.

Normalise using ranks — n_rank

<dl>

<dt>x</dt>
<dd>A numeric vector</dd>


<dt>ties.method</dt>
<dd>This argument is passed to <code><a href='https://rdrr.io/r/base/rank.html'>base::rank()</a></code> - see there for details.</dd>

</dl>

n_rank: Normalise using ranks

Description

Usage

Value

Arguments

Examples