The accompanying codes reproduce all figures and statistics presented in "Cumulative differences between paired samples." This repository also provides LaTeX and BibTeX sources for replicating the paper.

Be sure to pip install hilbertcurve prior to running any of this software (the codes depend on HilbertCurve). Also be sure to run gunzip codes/cup98lrn.txt.gz to decompress the data. Regenerating all the figures requires running in the subdirectory codes all Python files there, after having decompressed codes/cup98lrn.txt.gz and installed hilbertcurve via pip (being sure to include the option, --no-interactive, when executing the Python scripts on the command-line).

The main files in the repository are the following:

tex/paper.pdf PDF version of the paper

tex/paper.tex LaTeX source for the paper

tex/paper.bib BibTeX source for the paper

tex/fairmeta.cls LaTeX class for the paper

tex/logometa.pdf PDF logo for Meta

tex/hilbert.pdf PDF plot of an approximation to the Hilbert curve

codes/paired_weighted.py Functions for plotting cumulative differences between paired samples' responses

codes/acs.py Python script for processing the 2019 American Community Survey

codes/psam_h06.csv Microdata from the 2019 American Community Survey of the U.S. Census Bureau

codes/kddcup.py Python script for processing the 1998 KDD Cup data

codes/cup98lrn.txt.gz Microdata from the 1998 KDD Cup

The unit tests invoke ImageMagick's convert.

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License

This metapaired software is licensed under the LICENSE file (the MIT license) in the root directory of this source tree.