If you are a data analyst in a scientific or scholarly field, then you've likely experienced the tension between reproducibility demands and fast-changing custom analysis scripts. `freezr` is an `R` package meant to alleviate this tension. It helps you archive your current analysis in a snap so you can move on to the next question or approach. In a single line of code, it will run your script, gather the output into a time-stamped results folder, save a copy of your code and `sessionInfo()`** along with the results, and nag you to write down some notes** about what you did. For bigger projects, `freezr` includes a simple "inventory" system to keep track of saved data. This allows you to load data into a downstream script without hard-coding paths, which is particularly useful when saving intermediates inside of timestamped `freezr` archives.
Package details |
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Author | Eric Kernfeld |
Maintainer | Eric Kernfeld <eric.kern13@gmail.com> |
License | MIT |
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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