okomarov/ginicoeff

A measure of statistical dispersion
2,8K download
Aggiornato 17 set 2017

A simple function to measure the statistical dispersion of a distribution. This statistic is commonly used to assess inequality in income or wealth.
The coefficients ranges from 1 (total inequality, one person receives ALL) to 0 (total equality, everyone receives the same amount).

The function ignores NaNs and can be computed with or without sample correction.
SYNTAXES:
(1) GINICOEFF(IN) One input syntax, columwise gini coeffs.
(2) GINICOEFF(...,DIM) Dim along which to compute the coeff (1 or 2)
(3) GINICOEFF(...,NOSAMPLECORR) Don't apply sample correction

[COEFF, IDXNEG] = ...
-- coeff : n by 1 vector with gini coefficients where n is the number of series in In.
-- IDX : n by 1 logical index. True means that the computation of the gini coefficient for that series has been skipped due to negative values or insufficient elements (less than 2).

NOTE: this statistical measure is meant to be applied only on positive values. If a series contains negative values or the elements of the less than 2, the coefficient yields NaN and a warning is issued if IDX is not called explicitly.

Cita come

Oleg Komarov (2024). okomarov/ginicoeff (https://github.com/okomarov/ginicoeff), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2009b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.4.0.0

Moved to github
NaNs were not ignored due to a misplacing in the lines of code

1.3.0.0

Per Jos (10584) suggestion: sample correction is now the default; if elements in a series < 2 --> NaN. Edited help. Added link to FEX page.

1.1.0.0

Edited description

1.0.0.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.