This is a package of regression testing for dataset migration. Given a scenario where a legacy dataset will be replaced by a target dataset, we will analyze the difference between them based on following tests: 1. Distribution test: Kolmogorov-Smirnov test; 2. Correlation tests: Pearson correlation coefficient and Spearman's correlation; 3. Different variables and records; 4. Magnitude comparison; 5. Mean relative errors; 6. The difference between two hierarchical pairs in Spearman's test; 7. Features that have NA values; 8. Hybrid tests, which shows features that appear in Kolmogorov-Smirnov test, mean relative error test, and correlation tests; 9. Ranking, which shows the ranking of variables that appear in Kolmogorov-Smirnov test, mean relative error test, and correlation tests. The final report will be written into a user-specified xlsx file or/and an object (which is stored in an RData file). Users can choose the test results produced in the final report.
Package details |
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Author | Sean Howard, Krittika Mahajan, Andriy Miranskyy, Tom Montpool, Jessica Moore, Lei Zhang |
Maintainer | Andriy Miranskyy <avm@ryerson.ca> and Lei Zhang <leizhang@ryerson.ca> |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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