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qicharts2

qicharts2: Quality Improvement Charts for R - Published in JOSS (2018)

https://github.com/anhoej/qicharts2

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 8 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • ✓
    Committers with academic emails
    3 of 8 committers (37.5%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

R package: Quality improvement charts

Basic Info
  • Host: GitHub
  • Owner: anhoej
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 29.5 MB
Statistics
  • Stars: 42
  • Watchers: 9
  • Forks: 12
  • Open Issues: 0
  • Releases: 10
Created over 8 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog

README.md

R-CMD-check CRAN_Status_Badge DOI DOI <!-- badges: end -->

Quality improvement charts for R

qicharts2 is an R package with functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts.

Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) https://doi.org/10.1371/journal.pone.0113825].

Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) https://doi.org/10.1136/qshc.2004.012047].

Exported functions

  • qic() Run and control charts.

  • summary.qic() Summary of qic object.

  • paretochart() Pareto charts.

  • bchart() Bernoulli CUSUM chart (EXPERIMENTAL).

Included datasets

  • hospital_infections Number of hospital acquired bacteremia, Clostridium difficile infections, and urinary tract infections in six hospitals.

  • cabg Individual coronary artery bypass graft operations.

  • cdi Hospital acquired Clostridium difficile infections (CDI) before and after an intervention to reduce the risk of CDI.

  • nhs_accidents Number of attendances to major accident and emergency hospital departments in the NHS that were seen within 4 hours of arrival over twenty weeks.

  • gtt Adverse events during hospitalisation found by the Global Trigger Tool.

Instructions

  • Install stable version from CRAN: install.packages('qicharts2').

or

  • Install development version from github: devtools::install_github('anhoej/qicharts2', build_vignettes = TRUE).

then

  • Read documentation: ?qic.

  • Run examples: example('qic'), example('paretochart').

  • Read vignette: vignette('qicharts2').

  • Report issues and suggest improvements on https://github.com/anhoej/qicharts2.

  • Website: https://anhoej.github.io/qicharts2/

Owner

  • Name: Jacob Anhøj
  • Login: anhoej
  • Kind: user

JOSS Publication

qicharts2: Quality Improvement Charts for R
Published
May 17, 2018
DOI
Volume 3, Issue 25, Page 699
Authors
Jacob Anhøj ORCID
Rigshospitalet, University of Copenhagen, Denmark
Editor
Thomas J. Leeper ORCID
Tags
Statistical process control Continuous quality improvement
View PDF Review Thread Software Archive

Papers & Mentions

Total mentions: 4

Sense and sensibility: on the diagnostic value of control chart rules for detection of shifts in time series data
Last synced: 4 months ago
Smooth operator: Modifying the Anhøj rules to improve runs analysis in statistical process control
Last synced: 4 months ago
Improved treatment of community-acquired pneumonia through tailored interventions: Results from a controlled, multicentre quality improvement project
Last synced: 4 months ago
Rapid Analysis of Diagnostic and Antimicrobial Patterns in R (RadaR): Interactive Open-Source Software App for Infection Management and Antimicrobial Stewardship
Last synced: 4 months ago

GitHub Events

Total
  • Issues event: 3
  • Watch event: 5
  • Issue comment event: 3
  • Push event: 9
Last Year
  • Issues event: 3
  • Watch event: 5
  • Issue comment event: 3
  • Push event: 9

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 293
  • Total Committers: 8
  • Avg Commits per committer: 36.625
  • Development Distribution Score (DDS): 0.058
Past Year
  • Commits: 20
  • Committers: 1
  • Avg Commits per committer: 20.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
anhoej j****b@a****t 276
Andrew Johnson a****n@p****u 7
Jake Riley r****3@e****u 3
Rmadillo R****o 2
Andrew Johnson a****n@a****m 2
Katrin Leinweber k****i@p****e 1
Paul W****P@E****U 1
Jacob Anhøj j****b@a****b@a****t 1
Committer Domains (Top 20 + Academic)
email.chop.edu: 2 anhoej.netgit config --global --listgit config --global user.email jacob: 1 posteo.de: 1 arjohnsonau.com: 1 postgrad.curtin.edu.au: 1 anhoej.net: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 35
  • Total pull requests: 10
  • Average time to close issues: 26 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 23
  • Total pull request authors: 7
  • Average comments per issue: 3.23
  • Average comments per pull request: 1.5
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 3 months
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • rjake (5)
  • pwildenhain (4)
  • NathanProudlove (2)
  • AaronCreighton (2)
  • lenakba (2)
  • md0u80c9 (2)
  • bharuch2 (2)
  • mauriziopassariello (1)
  • dan410 (1)
  • jdtanner (1)
  • tylermanning (1)
  • MatthiasGer0821 (1)
  • lgonzalezsa (1)
  • TetraGenius (1)
  • davandyke (1)
Pull Request Authors
  • andrjohns (3)
  • Rmadillo (2)
  • katrinleinweber (1)
  • anhoej (1)
  • rjake (1)
  • seamus-mckinsey (1)
  • pwildenhain (1)
Top Labels
Issue Labels
bug (2) question (1) wontfix (1)
Pull Request Labels
enhancement (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 792 last-month
  • Total docker downloads: 41,971
  • Total dependent packages: 3
  • Total dependent repositories: 9
  • Total versions: 15
  • Total maintainers: 1
cran.r-project.org: qicharts2

Quality Improvement Charts

  • Versions: 15
  • Dependent Packages: 3
  • Dependent Repositories: 9
  • Downloads: 792 Last month
  • Docker Downloads: 41,971
Rankings
Docker downloads count: 0.6%
Forks count: 5.5%
Average: 7.9%
Stargazers count: 9.0%
Dependent repos count: 9.8%
Dependent packages count: 10.9%
Downloads: 11.9%
Maintainers (1)
jacob@anhoej.net
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.0 depends
  • ggplot2 >= 2.2.0 imports
  • scales * imports
  • stats * imports
  • dplyr >= 0.7.0 suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
  • tidyr * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • actions/upload-artifact main composite
  • r-lib/actions/check-r-package v1 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
  • r-lib/actions/setup-r-dependencies v1 composite