SA_sample

Generates an input sample for a Monte Carlo estimation of global sensitivity indices. Used in
the <code>get_sensitivity()</code> function. The total sample size will be \(N(d+2)\).

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

SA_sample function

<dl><dt>N</dt>
<dd>The number of sample points per dimension.</dd>
<dt>d</dt>
<dd>The dimensionality of the sample</dd></dl>

Arguments

Generate sample for sensitivity analysis — SA_sample

<dl>

<dt>N</dt>
<dd>The number of sample points per dimension.</dd>


<dt>d</dt>
<dd>The dimensionality of the sample</dd>

</dl>

SA_sample: Generate sample for sensitivity analysis

Description

Usage

Value

Arguments

Details

See Also

Examples