controlcharts: Interactive Plotting for Funnel Plots and Statistical Process Control Charts

Generate fully interactive and dynamic funnel plots and statistical process control ('SPC') charts. All data manipulation, calculation, and plotting is done in 'JavaScript', allowing for completely dynamic charts without the need for a Shiny server. For more details see Spiegelhalter (2004) <doi:10.1002/sim.1970> and Pfadt & Wheeler (1995) <doi:10.1901/jaba.1995.28-349>.

Version:	0.0.19
Imports:	htmlwidgets, htmltools, crosstalk, QuickJSR, jsutils
Suggests:	rsvg, knitr, rmarkdown, testthat (≥ 3.0.0), chromote, xml2
Published:	2026-08-04
DOI:	10.32614/CRAN.package.controlcharts (may not be active yet)
Author:	Andrew R. Johnson [aut, cre], Healthcare Quality Intelligence Unit (Western Australia Health) [aut]
Maintainer:	Andrew R. Johnson <andrew.johnson at arjohnsonau.com>
License:	MIT + file LICENSE
URL:	https://aus-doh-safety-and-quality.github.io/controlcharts/
NeedsCompilation:	no
Materials:	README
CRAN checks:	controlcharts results

Documentation:

Reference manual:	controlcharts.html , controlcharts.pdf
Vignettes:	Aesthetic Options (source, R code) Chart Types in controlcharts (source, R code) Getting Started with the 'controlcharts' package (source, R code) Outlier Detection and NHS Icons (source, R code)

Downloads:

Package source:	controlcharts_0.0.19.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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