autospc

Installation

Make sure you have the devtools package installed.

install.packages("devtools")

Then you can install the autospc package.

devtools::install_github("HorridTom/autospc")

This may then give you the option to install other packages that autospc is dependent on.

Input data format

For a C, C' or XmR chart the data must have the following columns:

• Your x-axis variable which should be a date, POSIXct, numeric or integer type. The name of this column can be specified in the x argument of the plot_auto_SPC.

• Your y-axis variable which should be a numeric or integer type. The name of this column can be specified in the y argument of the plot_auto_SPC function, e.g. plot_auto_spc(data, x = "x_column_name", y = "y_column_name", chartType = "C")

For a P or P' chart the data must have the following columns:

• Your x-axis variable which should be a date, POSIXct, numeric or integer type. The name of this column can be specified in the x argument of the plot_auto_SPC function.

• The total count data or denominator (e.g. number of ED attendances) which should be a numeric or integer type. The name of this column can be specified in the n argument of the plot_auto_SPC function.

• The numerator (e.g. number of 4hr breaches) which should be a numeric or integer type. The name of this column can be specified in the y argument of the plot_auto_SPC function, e.g. plot_auto_spc(data, x = "x_column_name", n = "denominator_column_name", y = "numerator_column_name", chartType = "P'")

Running the charts

Run the following code on a dataframe that fits the above format with the columns "month", "breaches" and "attendances".

autospc::plot_auto_SPC(dataframe, x = "month", y = "breaches", chartType = "C")

The type of chart to be plotted should be specified using the chartType argument. E.g. autospc::plot_auto_SPC(dataframe, x = "month", y = "breaches", n = "attendances", chartType = "P")

There are various arguments that can be specified in this function call to change the appearance of the chart. Use ??autospc::plot_auto_spc to find out more.

Getting the data table

Run the following code on a dataframe in the above format to return the data with control limits and other information.

autospc::plot_auto_SPC(dataframe,chartType = "C", plotChart = FALSE)

limits_table <- autospc::plot_auto_SPC(dataframe, x = "month", y = "breaches", chartType = "C", plotChart = FALSE)

This stores the returned data in a variable called limits_table