Normalise

This is a generic function for normalising variables and indicators, i.e. bringing them onto
a common scale. Please see individual method documentation depending on your data class:

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

Normalise function

<dl><dt>x</dt>
<dd>Object to be normalised</dd>
<dt>...</dt>
<dd>Further arguments to be passed to methods.</dd></dl>

Arguments

Normalise data — Normalise

<dl>

<dt>x</dt>
<dd>Object to be normalised</dd>


<dt>...</dt>
<dd>Further arguments to be passed to methods.</dd>

</dl>

Normalise: Normalise data

Description

Usage

Arguments

Details

Examples