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