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Codes and data to reproduce the results of the paper: Using the Gini coefficient to characterize the shape of computational chemistry error distributions, by P. Pernot and A. Savin (2021) Theor. Chem. Acc. 140:24 doi:10.1007/s00214-021-02725-0; arXiv
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Supplementary Information to te paper:
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allStats.csv: file containing all the intermediate statistics used to generate the figures and tables.
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article_SI.pdf: Description of the
allStats.csvfile and additional figures: ECDF and Lorenz plots for all the article datasets.
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