Skip to content

perccalc

1.0.5Package record

Estimate Percentiles from an Ordered Categorical Variable

0packages depend
2.6Kdownloads / year
90.1%test coverage
11/13flavors OK

Overview

About

An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.

Changes in 1.0.5
  • Correct citation on startup

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jorge Cimentada <cimentadaj@gmail.com>’

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • WARNING11 OK, 1 NOTE, 1 WARNING2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.5
README· In the repository, left out of the releaseVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.0.5Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,179 · ~7/day · ~220/mo
Daily download trend is not available in this view yet.
25930 days
71890 days
2.6K1 year
Compare downloads with other packages →
Also on73 r2u6 autocran

Repository

5Stars
3Forks
0Open issues
0Open PRs
2Releases
144Commits
6Commit identities
144 commits · Last activity 2020-05-24 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
51
Median days to close, 50 most recently updated closed PRs
19

Stars over time

2025-09-11 · 52026-07-07 · 5
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/cimentadaj/perccalc on 2026-10-22.

Continuous integration (2)
Travis CI (config file)AppVeyor
Governance and community (1)
Contributing guide
Docs source (2)
README.Rmd

GitHub Pages site last deployed 2020-11-10

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing perccalc adds 15 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: TH.data 8.2 MB, sandwich 1.4 MB, mvtnorm 1.0 MB.

Depends (1)
R >= 3.4.0
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2017)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.5Latest
    record
    2019-12-17 · current release · diff ↗
  • 1.0.4
    record
    2019-12-09 · diff ↗ ·
    added 1 export
    perc_diff_df
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.3
    record
    2018-08-24 · diff ↗
  • 1.0.2
    record
    2018-07-18 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1
    record
    2018-03-30 · diff ↗
  • 1.0.0
    record
    2017-09-14
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-09-14
Total releases
6 / 9 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.4.0
Bundled data
286 KB / 2 files
Download size
496 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("perccalc")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for perccalc version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy