Guix

Reproducible R Environment Using Guix

Mehrad Mahmoudian published on
7 min, 1338 words

Abstract

It is essential for a good analytical project to be 100% reproducible. Reproducibility issues in projects typically stem from three parts: 1) the data, 2) the software, and 3) random number generation. The reproducibility from software stack perspective can either come from the code that the analyst writes, or the packages, libraries, and software they use in their analysis. In this article I try to propose a simple solution for the latter without needing to change your Linux distro.

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