This package is built by the NHS-R community to provide tools for drawing statistical process control (SPC) charts. This package supports the NHSE/I programme ‘Making Data Count’, 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 the NHS England and NHS Improvement’s ‘Making Data Count’ programme, please see here for more details. 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 vignette 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 it’s 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")
To find out more about the
ptd_spc() function, you can view the help with:
Details on the extra plot controls can be found using:
To view the vignette (worked example), use: