R Observatory: Metrics for pid version 0.65

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

pid

0.65Package record

Process Improvement using Data

0packages depend

4.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Kevin DunnCRAN page ↗GitHub ↗Website ↗Issues ↗

A collection of scripts and data files for the statistics text: "Process Improvement using Data" https://learnche.org/pid/ and the online course "Experimentation for Improvement" found on Coursera. The package contains code for designed experiments, data sets and other convenience functions used in the book.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("pid", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("kgdunn/R-package-PID-Process-Improvement-using-Data")

Development version from kgdunn/R-package-PID-Process-Improvement-using-Data. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-pid

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-pid

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-pid

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.65

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 14includes a package overview page
Examples that run: 88%7 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 86%
Help pages citing references: 71%

How these are measured

Downloads

4.6K

CRAN downloads in the past year

Rank #8,426 · ~12/day · ~380/mo

Releases R versions

Daily download trend is not available in this view yet.

37330 days

1.1K90 days

4.6K1 year

Compare downloads with other packages →

Also on141 r2u9 autocran133 c2d4u

How downloads are counted

Repository

kgdunn/r-package-pid-process-improvement-using-data ↗Account: kgdunn

0Stars

0Forks

1Open issues

0Open PRs

0Releases

Last activity 2026-01-10

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/kgdunn/r-package-pid-process-improvement-using-data on 2026-10-18.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-12-15
Pull request it wrote: opened by a project member
Commits: 1 by its own account

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing pid adds 39 packages (17 with compiled code, 31 MB of source tarballs). Heaviest: ggplot2 6.0 MB, igraph 4.8 MB, FrF2.catlg128 4.2 MB.

Depends (0)

none

Imports (6)

ggplot2statspng FrF2 DoE.base FrF2.catlg128

LinkingTo (0)

none

Suggests (1)

MASS

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Kevin Dunn

Author, Maintainer since 0.13 (2015)

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.65Latest
record
2026-01-10 · current release · diff ↗
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
R
R 3.6.0 released · 2019-04-26
0.50
record
2018-11-23 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
0.36
record
2015-08-07 · diff ↗
0.32
record
2015-07-23 · diff ↗ ·
added 6 exports
tradeOffTable, popcorn, grocery, manufacture, contourPlot, tradeoff
0.15
record
2015-07-13 · diff ↗

Show 2 earlier eventsHide 2 earlier events

0.13
record
2015-07-06
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-07-06
Total releases: 6 / 11 yrs
License: BSD_2_clause + file LICENSE OSI
Bundled data: 100 KB / 6 files
Download size: 1.6 MB

Appears in task views

Design of Experiments (DoE) & Analysis of Experimental Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pid")

Format

Dunn, K. (2026). pid: Process Improvement using Data (Version 0.65) [Computer software]. https://doi.org/10.32614/CRAN.package.pid

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pid version 0.65 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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