n_scaled

Scales a vector for normalisation using the method applied in the GII2020 for some indicators. This
does <code>x_scaled &lt;- (x-l)/(u-l) * scale_factor</code>. Note this is not the minmax transformation (see <code>n_minmax()</code>).
This is a linear transformation with shift <code>u</code> and scaling factor <code>u-l</code>.

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_scaled function

<dl><dt>x</dt>
<dd>A numeric vector</dd>
<dt>npara</dt>
<dd>Parameters as a vector <code>c(l, u)</code>. See description.</dd>
<dt>scale_factor</dt>
<dd>Optional scaling factor to apply to the result. Default 100.</dd></dl>

Arguments

Scale a vector — n_scaled

<dl>

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


<dt>npara</dt>
<dd>Parameters as a vector <code>c(l, u)</code>. See description.</dd>


<dt>scale_factor</dt>
<dd>Optional scaling factor to apply to the result. Default 100.</dd>

</dl>

n_scaled: Scale a vector

Description

Usage

Value

Arguments

Details

Examples