https://github.com/markvanderloo/lumberjack

Track changes in data with ease
https://github.com/markvanderloo/lumberjack

daff datascience logging r reproducible-research

Last synced: 3 months ago
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Track changes in data with ease

• Host: GitHub
• URL: https://github.com/markvanderloo/lumberjack
• Owner: markvanderloo
• Created: 2017-05-24T06:21:50.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-06-14T09:16:04.000Z (5 months ago)
• Last Synced: 2024-07-14T20:22:47.963Z (4 months ago)
• Topics: daff, datascience, logging, r, reproducible-research
• Language: R
• Homepage:
• Size: 645 KB
• Stars: 63
• Watchers: 6
• Forks: 4
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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• jimsghstars - markvanderloo/lumberjack - Track changes in data with ease (R)

README

        
## Track changes in data

[![CRAN](http://www.r-pkg.org/badges/version/lumberjack)](http://cran.r-project.org/package=lumberjack/)

[![status](https://tinyverse.netlify.com/badge/lumberjack)](https://CRAN.R-project.org/package=lumberjack)

[![Downloads](http://cranlogs.r-pkg.org/badges/lumberjack)](http://www.r-pkg.org/pkg/lumberjack)[![Mentioned in Awesome Official Statistics ](https://awesome.re/mentioned-badge.svg)](http://www.awesomeofficialstatistics.org)

[![status](https://tinyverse.netlify.app/badge/lumberjack)](https://CRAN.R-project.org/package=lumberjack)

The `lumberjack` R package allows you to:

- **track changes** in **multiple data sets** as they get processed;

- using **multiple loggers** for each dataset;

- where loggers are **fully customizable**.

You can get started by just adding one line of code to your existing data

analysis script.

- [Overview of functionality](./pkg)

- [Talk at the eRum2018 meeting (Budapest)](https://www.youtube.com/watch?v=DNZs0CHBU4s)

### Citing lumberjack

Please cite the [JSS paper](https://www.jstatsoft.org/article/view/v098i01).

```

@article{loo2020monitoring,

  title = {Monitoring Data in {R} with the {lumberjack} Package},

  author = {Mark P. J. {van der Loo}},

  journal = {Journal of Statistical Software},

  year = {2021},

  volume = {98},

  number = {1},

  pages = {1--13},

  doi = {10.18637/jss.v098.i01},

  url = {https://www.jstatsoft.org/article/view/v098i01}

}

```

### lumberjack philosophy

Production scripts may contain many data transformations, aimed to clean,

select, model, or augment data with new variables. Analyzing the effect of each

step is cumbersome because it involves adding a lot of code that is not

concerned with the primary goal of the script, namely to analyze and process

data.

In the lumberjack philosophy, a programmer (analyst) should be only concerned

with the primary process of data analyses.

![](fig/datastep2.png)

### Installation

Published version from CRAN

```r

install.packages('lumberjack')

```

Development version.

```r

git clone https://github.com/markvanderloo/lumberjack

cd lumbjerjack

make install

```

----

Copyright (2016) Mark van der Loo

Licenced by [EUPL 1.2](https://eupl.eu/1.2/en/)