gini_coeff

The function computes Gini coefficient from a numeric vector

internal

Build graphs for landscape genetics analysis. This set of
functions can be used to import and convert spatial and genetic data
initially in different formats, import landscape graphs created with
'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>,
make diagnosis plots of isolation by distance relationships in order to
choose how to build genetic graphs, create graphs with a large range of
pruning methods, weight their links with several genetic distances, plot
and analyse graphs,	compare them with other graphs. It uses functions from
other packages such as 'adegenet'
(Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi
et Nepusz, 2006) <https://igraph.org/>. It also implements methods
commonly used in landscape genetics to create graphs, described by Dyer et
Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et
Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data
(van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.

Paul Savary

graph4lg

Build Graphs for Landscape Genetics Analysis

Gilles Vuidel

Tyler Rudolph

Alexandrine Daniel

gini_coeff function

<dl><dt>x</dt>
<dd>A numeric vector with positive values</dd>
<dt>unbiased</dt>
<dd>A logical value indicating whether the computed coefficient
is biased or not. Unbiased value are equal to n/(n-1) times the biased ones.</dd></dl>

Arguments

Author

Compute Gini coefficient from a numeric vector — gini_coeff

<dl>

<dt>x</dt>
<dd>A numeric vector with positive values</dd>


<dt>unbiased</dt>
<dd>A logical value indicating whether the computed coefficient
is biased or not. Unbiased value are equal to n/(n-1) times the biased ones.</dd>

</dl>

gini_coeff: Compute Gini coefficient from a numeric vector

Description

Usage

Value

Arguments

Author

Examples