gglorenz
Plotting Lorenz Curve with the Blessing of 'ggplot2'
Description
Provides statistical transformations for plotting empirical ordinary Lorenz curve (Lorenz 1905) <doi:10.2307/2276207> and generalized Lorenz curve (Shorrocks 1983) <doi:10.2307/2554117>.
Downloads
389
Last 30 days
11160th
1.1K
Last 90 days
7.2K
Last year
Trend: +53.2% (30d vs prior 30d)
0
Last 30 days
23
Last 90 days
97
Last year
Trend: -100% (30d vs prior 30d)
0
Last 7 days
8
Last 30 days
0
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
Code
Structure
Lines of code
452
Files
25
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
5
Internal functions
0
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
0%
\dontrun example ratio
0%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
Yes
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
50%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.2.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
2
First release
2018-02-12
Latest release
2020-05-27
Avg cadence
835 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.