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Non-random variation in the form of minor to moderate\npersistent shifts in data over time is identified by the Anhoej\nrules for unusually long runs and unusually few crossing\n[Anhoej, Olesen (2014) ].\nNon-random variation in the form of larger, possibly transient,\nshifts is identified by Shewhart's 3-sigma rule [Mohammed,\nWorthington, Woodall (2008) ].", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "URL": "https://github.com/anhoej/qicharts2", "Config/roxygen2/version": "8.0.0", "Repository": "https://anhoej.r-universe.dev", "Date/Publication": "2026-07-02 08:35:06 UTC", "RemoteUrl": "https://github.com/anhoej/qicharts2", "RemoteRef": "HEAD", "RemoteSha": "162375679b46652169a609a5fab363fc818113ca", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-02 10:01:29 UTC", "User": "root" }, "Author": "Jacob Anhoej [aut, cre]", "Maintainer": "Jacob Anhoej ", "_user": "anhoej", "_type": "src", "_file": "qicharts2_0.8.1.tar.gz", "_fileid": 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operations", "topics": [ "cabg" ] }, { "page": "cdi", "title": "Clostridium difficile infections", "topics": [ "cdi" ] }, { "page": "complaints", "title": "Complaints", "topics": [ "complaints" ] }, { "page": "gtt", "title": "Patient harm identified using the Global Trigger Tool", "topics": [ "gtt" ] }, { "page": "hospital_infections", "title": "Hospital acquired infections", "topics": [ "hospital_infections" ] }, { "page": "lots", "title": "Lots", "topics": [ "lots" ] }, { "page": "nhs_accidents", "title": "NHS accidents", "topics": [ "nhs_accidents" ] }, { "page": "paretochart", "title": "Paretochart", "topics": [ "paretochart" ] }, { "page": "qic", "title": "Statistical process control charts.", "topics": [ "qic" ] }, { "page": "qicharts2", "title": "'qicharts2' package", "topics": [ "qicharts2-package", "qicharts2" ] }, { "page": "summary.qic", "title": "Prints summary of a qic object", "topics": [ "summary.qic" ] } ], "_readme": "https://github.com/anhoej/qicharts2/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "R6", "RColorBrewer", "rlang", "S7", "scales", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "qicharts2.Rmd", "filename": "qicharts2.html", "title": "Quality Improvement Charts", "author": "Jacob Anhøj", "engine": "knitr::rmarkdown", "headings": [ "Installation", "Your first run and control charts", "Understanding variation", "Testing for special cause variation", "Shewhart's 3-sigma rule", "The Western Electric rules", "The Anhøj rules", "Choosing the right control chart", "Case 1: Patient harm", "Run chart of adverse events per 1000 patient days", "U chart of adverse events per 1000 patient days", "Run and P control charts of percent harmed patients", "Pareto analysis of adverse event types and severity", "Case 2: Clostridium difficile infections", "Run charts for number of infections", "C chart for number of infections", "U chart for infection rate", "When should you recompute the limits?", "Case 3: Coronary artery bypass graft", "I and MR charts for age of individual patients", "Xbar and S charts for average and standard deviation of patient age", "P charts for proportion of patients who were readmitted or died within 30 after surgery", "T and G charts for rare events", "Faceting readmission rates by gender", "Case 4: Faceting hospital infections by hospital and infection", "U chart of the total number of infections per 10,000 risk days", "Faceted U chart by type of infection", "Two-way faceted U chart by infection and hospital", "Funnels plot of infection rates by hospital", "Case 5: Prime charts for count data with very large sample sizes", "Conclusion", "References", "Appendix 1: Calculating 3-sigma limits", "Appendix 2: Critical values for longest run and number of crossings" ], "created": "2017-08-01 08:51:04", "modified": "2026-07-02 08:10:52", "commits": 17 } ], "_score": 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