# R - Benchmark implementation

**URL:** <https://community.drivendata.org/t/r-benchmark-implementation/5236>\
**Category:** Differential Privacy Temporal Map Challenge\
**Created:** [October 3, 2020, 6:14pm UTC](https://community.drivendata.org/t/r-benchmark-implementation/5236 "2020-10-03T18:14:41Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![odaniel1](https://avatars.discourse-cdn.com/v4/letter/o/e495f1/32.png) [@odaniel1](https://community.drivendata.org/u/odaniel1)\
**Post date:** [October 3, 2020, 6:14pm UTC](https://community.drivendata.org/t/r-benchmark-implementation/5236/1 "2020-10-03T18:14:41Z")

</div>

For anyone looking to get started in R, I’ve created a fork of the challenge repo in which I’ve added an R-implementation of the benchmark algorithm.

The [fork](https://github.com/odaniel1/deid2-runtime) currently only has a single additional file `benchmark/benchmark.R` which creates a file `data/submission.csv` for manual submission.

In due course it’d be good to update this to a file `main.R` which is compliant with the submission process set out in the [read me](https://github.com/odaniel1/deid2-runtime#implement-your-solution). I’ll get around to this eventually, but welcome others input!

---

<div class="post-metadata">

**Author:** ![odaniel1](https://avatars.discourse-cdn.com/v4/letter/o/e495f1/32.png) [@odaniel1](https://community.drivendata.org/u/odaniel1)\
**Post date:** [October 4, 2020, 6:25pm UTC](https://community.drivendata.org/t/r-benchmark-implementation/5236/2 "2020-10-04T18:25:41Z")

</div>

As per my final paragraph above: I’ve now created a [branch](https://github.com/odaniel1/deid2-runtime/tree/r-benchmark-pipeline) which can run an R implementation of the benchmark using the Docker pipeline (as described in the [quickstart instructions](https://github.com/drivendataorg/deid2-runtime#quickstart)).