johnmackintosh/spccharter

Creates multiple SPC / process behaviour charts, automatically detecting signals of process change and revising centre lines and control limits. WIP. See {runcharter} for automated run charts

spccharter

The goal of spccharter is rapid analysis of multiple statistical process control charts. The package will create charts, detect signals of improvement, and revise control limits each time a signal occurs. Currently, ‘C’, ‘P’ and ‘U’ charts can be produced.

The package supports non standard evaluation - you can pass bare variable names.

Installation

spccharter is not on CRAN yet

But the development version is available on GitHub with:

# install.packages("remotes") # if not already installed
remotes::install_github("johnmackintosh/spccharter")

Example

One grouping variable:

library(spccharter)
spccharter(data, numerator = counts, datecol = date, 
           by = category_1, plot_type = 'c', direction = "both")

Two grouping variables:

library(spccharter)
spccharter(data, numerator = counts, denominator = attends, datecol = date, 
           by = c('ward','hospital'), plot_type = 'p', direction = "both")

Example plots