
Developed comprehensive documentation for the Kolmogorov-Smirnov test in R within the PSIAIMS/CAMIS repository, focusing on practical guidance for applying the ks.test() function in statistical analysis workflows. The work detailed when and how to use the test, included relevant statistical methods, and provided practical examples to support data science teams. By establishing a reusable reference, the documentation aimed to streamline onboarding and peer review processes, enhancing reproducibility and consistency in analytics projects. The effort centered on R programming and data visualization, with an emphasis on knowledge transfer rather than bug fixes, contributing depth and clarity to the repository’s statistical toolkit.
February 2026 (2026-02) monthly summary: Delivered Kolmogorov-Smirnov Test Documentation (R) for CAMIS, detailing when and how to apply ks.test(), statistical methods, and practical examples. This work strengthens the statistical toolkit, accelerates adoption, and improves reproducibility across CAMIS analytics projects. No major bugs fixed this month in this repository; the focus was on documentation and knowledge transfer to support data science workflows.
February 2026 (2026-02) monthly summary: Delivered Kolmogorov-Smirnov Test Documentation (R) for CAMIS, detailing when and how to apply ks.test(), statistical methods, and practical examples. This work strengthens the statistical toolkit, accelerates adoption, and improves reproducibility across CAMIS analytics projects. No major bugs fixed this month in this repository; the focus was on documentation and knowledge transfer to support data science workflows.

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