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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].
qic() Run and control charts.
summary.qic() Summary of qic object.
paretochart() Pareto charts.
bchart() Bernoulli CUSUM chart (EXPERIMENTAL).
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.
install.packages('qicharts2').or
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/
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.