Intro | MaddisonLeaders | Acknowledgements | Bibliography
Package: MaddisonData 1.1.0
MaddisonData: Maddison Project Data
Relatively easy access is provided to 2023 version of the Maddison project data downloaded 2025-08-28. This project collates all the credible data on population and GDP for 169 countries, with some dating back to the year 1 of the current era. One function makes it easy to find the leaders for each year, allowing users to delete countries like OPEC with narrow economies to focus on technology leaders. Another function makes it easy to plot data for only selected countries or years. Another function makes it relatively easy to obtain references to the original sources, which must be cited per the copyright rules of the Maddison Project for different uses of their data.
Authors:
MaddisonData_1.1.0.tar.gz
MaddisonData_1.1.0.zip(r-4.7)MaddisonData_1.1.0.zip(r-4.6)MaddisonData_1.1.0.zip(r-4.5)
MaddisonData_1.1.0.tgz(r-4.6-any)MaddisonData_1.1.0.tgz(r-4.5-any)
MaddisonData_1.1.0.tar.gz(r-4.7-any)MaddisonData_1.1.0.tar.gz(r-4.6-any)
MaddisonData_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MaddisonData/json (API)
| # Install 'MaddisonData' in R: |
| install.packages('MaddisonData', repos = c('https://sbgraves237.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sbgraves237/maddisondata/issues
Datasets:
- MaddisonCountries - Maddison Project data
- MaddisonData - Maddison Project data
- MaddisonSources - Maddison Project data
- MaddisonYears - Maddison Project data
Last updated from:2a19cadf2e. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 153 | ||
| source / vignettes | OK | 215 | ||
| linux-release-x86_64 | NOTE | 157 | ||
| macos-release-arm64 | NOTE | 114 | ||
| macos-oldrel-arm64 | NOTE | 79 | ||
| windows-devel | NOTE | 112 | ||
| windows-release | NOTE | 110 | ||
| windows-oldrel | NOTE | 113 | ||
| wasm-release | OK | 140 |
Exports:getMaddisonSourcesggplotPathggplotPath2growthModelgrowthUpdateFnlogMaddisonMadDateRangesMaddisonLeaderspath_package2yr
Dependencies:
Identifying MaddisonData leaders
Last update: 2026-03-21
Started: 2026-01-02
Kalman smoothing MaddisonData
Abstract | Basic setup | 1. The simplest Kalman Filter: an Exponentially Weighted Moving Average (EWMA) | 1a. KFAS package for Kalman Filtering and Smoothing | 1b. Estimate the Bayesian EWMA | 2. Estimate mean and slope | References
Last update: 2026-02-21
Started: 2026-01-28
Update Maddison Data
Intro | Get the data | Find the data file | Read the data file | Countries and country codes? | MaddisonData | MaddisonSources | Bibliography
Last update: 2026-02-04
Started: 2025-10-14
Industrial Revolution began in 1689 or 1649?
Abstract | Introduction | World leader in GDPpc by year | Plot | Maddison sources | Bibliography
Last update: 2026-02-04
Started: 2025-10-17
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get Maddison sources | getMaddisonSources |
| 'ggplot' paths | ggplotPath |
| 'ggplotPath' in multiple panels with no space between panels and a shared horizontal axis on the bottom. | ggplotPath2 ggplotPath2.default ggplotPath2.KFS ggplotPath2.list ggplotPath2.mts |
| Two-dimensional growth model for 'KFAS' | growthModel |
| Update function to estimating a two-dimensional growth model | growthUpdateFn |
| Select countries and add logged variables | logMaddison |
| Convert a vector of date ranges into a data.frame | MadDateRanges |
| Maddison Project data | MaddisonCountries |
| Maddison Project data | MaddisonData |
| Identify leading countries | MaddisonLeaders |
| Maddison Project data | MaddisonSources MaddisonYears |
| Construct a path to a location within an installed or development package | path_package2 |
| Summary method for an object of class 'MaddisonLeaders' | summary.MaddisonLeaders |
| year with fraction` | yr |
