This package is built by the NHS-R community to provide tools for drawing statistical process control (SPC) charts. This package supports NHS England’s ‘Making Data Count’ programme, and allows users to draw XmR charts, use change points, and apply rules with summary indicators for when rules are breached.
Please be aware that this package is in the early stages of development, and features may change.
Welcome to the NHS-R community’s package for building a specific type of statistical process control (SPC) chart, the XmR chart. We are aiming to support NHS England’s ‘Making Data Count’ programme. The programme encourages boards, managers, and analyst teams to present data in ways that show change over time and drive better understanding of indicators than ‘RAG’ (red, amber, green) rated board reports often present.
The help files and vignettes within this package tell you more about the possible options for controlling the charts, but below is a simple example of the type of chart the package produces. We will use the
ae_attendances dataset from the NHSRdatasets package and a bit of dplyr code to select some organisations.
library(NHSRplotthedots) library(NHSRdatasets) library(tidyverse) sub_set <- ae_attendances %>% filter(org_code == "RQM", type == 1, period < as.Date("2018-04-01")) sub_set %>% ptd_spc(value_field = breaches, date_field = period, improvement_direction = "decrease")
This plot is ok on its own, but we can specify more control options when we pass it on, using the dplyr pipe function below:
%>% to the plot argument.
sub_set %>% ptd_spc(value_field = breaches, date_field = period, improvement_direction = "decrease") %>% ptd_create_ggplot( y_axis_label = "4-hour wait breaches", main_title = "SPC of A&E waiting time breaches for RQM" )
It’s also possible to generate interactive plots using the plotly package by replacing the call to
ptd_create_plotly. This function takes the same arguments as
This is an NHS-R Community project that is open for anyone to contribute to in any way that they are able. The project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
The simplest way to contribute is to raise an issue detailing the feature or functionality you would like to see added, or any unexpected behaviour or bugs you have experienced.