This package has broadly been replaced by SPCcharter here: https://github.com/johnmackintosh/spccharter and therefort unlikley to be developed/maintained in the future

RFLspc

==================== Adaption of Royal Free Standard SPC Excel template for use in R.

This package actually copies the data into the excel model; open, updates and saves the excel; and then returns a ggplot object. That’s inefficient and clunky, it's not how you would want to do it. But it does mean that the logic used is exactly the same as in our excel template which is a big deal for us.

To install:

First, ensure all dependencies packages are installed. In particular, the RDCOMClient package (which evaluates the excel model) needs to be installed using the code below:

devtools::install_github('omegahat/RDCOMClient')

Then, install package from this repository

 # if not installed already, install devtools with install.packages('devtools')
remotes::install_github('royal-free-london/RFLspc')

Chart styling is also done with the RFLtheme package, available to download and use here: https://github.com/royal-free-london/RFLtheme

To use:

load the package... (and the tidyverse package which at the moment appears not to being imported correctly on package load)

library('RFLspc')
library('tidyverse')

...Generate data.frame or tibble with ONLY two variables, the first a date/datetime variable, and the second a numeric variable to plot. An example of the data format is saved in the package as an example and can be accessed in the object.

df_exampleData

Finally, use the main function, ggRFLspc:

ggRFLspc(df_exampleData, title="Example SPC Chart", subtitle="Here is some example data")