Compute and Decompose Inequality in Education
Overview
Easily compute education inequality measures and the distribution of educational attainments for any group of countries, using the data set developed in Jorda, V. and Alonso, JM. (2017) DOI:10.1016/j.worlddev.2016.10.005. The package offers the possibility to compute not only the Gini index, but also generalized entropy measures for different values of the sensitivity parameter. In particular, the package includes functions to compute the mean log deviation, which is more sensitive to the bottom part of the distribution; the Theil’s entropy measure, equally sensitive to all parts of the distribution; and finally, the GE measure when the sensitivity parameter is set equal to 2, which gives more weight to differences in higher education. The decomposition of these measures in the components between-country and within-country inequality is also provided. Two graphical tools are also provided, to analyse the evolution of the distribution of educational attainments: The cumulative distribution function and the Lorenz curve.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Vanesa Jorda <jordav@unican.es>’
Found the following (possibly) invalid file URIs:
URI: www.educationdata.unican.es
From: man/ineq_female15a.Rd
URI: www.educationdata.unican.es
From: man/ineq_female25a.Rd
URI: www.educationdata.unican.es
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URI: www.educationdata.unican.es
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URI: www.educationdata.unican.es
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URI: www.educationdata.unican.es
From: man/ineq_total25a.Rd- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 15 (1 internal)includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 47%
Downloads
Dependencies
Installing educineq adds 47 packages (29 with compiled code, 44 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.1.0Latest2017-02-17 · current release
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-02-17
- Total releases
- 1 / 9 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 146 KB / 7 files
- Download size
- 452 KB
Cite
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