My scripts for processing OCAT data and generating the scripts.
The way these work is to have the OCAT CSVs in this folder heirarchy: [Article Title]\OCAT Data\[GPU]\[API]\[Quality]\[CSV files] with GPU, Quality, and if appropriate API named correctly. The "OCAT" Python script can then have a file dropped on it from the "OCAT Data" folder or from the lowest folder where the CSVs are kept and it will generate the R scripts to process that data from the reference scripts kept here. It is necessary the reference R scripts are kept in the same folder as the Python script, as it looks for them there. The "@*** - PA - [Article Title].r" script should then be run to create a "@Combined - [Quality].csv" file that the "@Combined - Input - [Article Title].r" script will read in when executed. Various controls are present in this Input script to set things such as data type, graph dimensions, and more.
Following what I am calling the 2020 Overhaul (purely because I did it in 2020 and not as a commitment to yearly overhauls) there are new "Search" scripts. These will have the R scripts do some of the searching for OCAT CSVs, instead of requiring the Python script to do all the work. I personally will use "OCAT - Search - PA.py" and the resulting "@Search - PA - [Article Title].r" script in the future for this functionality, but the "OCAT - Modular - PA.py" and "@Combined - PA - [Article Title].r" script it will produce still work without issue. The Input and Output R scripts will work with either process.
The Fully Commented branch has versions of the scripts where I comment almost line-by-line to explain how it all works. Article covering all of the statistics, graphs, and scripts can be found here: https://github.com/GuestJim/Serious-Statistics-Reprocessed
The Old folders have an older version of these, where a Batch file is used to call a Python script to create the desired R script
Since originally making them, I have learned about Lag graphs, which plot the data against the data but shifted by some amount, nromally 1. (The X axis is n + 1 and Y is n, for example.) My Consecutive Difference graphs then are possibly a variant of lag graphs, as they are the data on one axis and the difference between n and n + 1 on the other. Additional information: NIST Lag Plot in Handbook