https://www.rostrum.blog/tags/drake/ Recent content in Drake on rostrum.blog Hugo -- gohugo.io en-gb Sun, 27 Sep 2020 00:00:00 +0000 https://www.rostrum.blog/2020/09/27/targets-dsfest/ Sun, 27 Sep 2020 00:00:00 +0000 https://www.rostrum.blog/2020/09/27/targets-dsfest/ An excuse to use the dam good (lol) beavers1 data (Nature on PBS via Giphy) tl;dr I spoke at the UK Government Data Science Festival about Will Landau’s R package {targets} for workflow reproducibility. You can jump to the embedded slides below. {targets} Reproducibility is an important part of any data analysis. Will people be able to re-run your code from scratch on a different machine without you present? https://www.rostrum.blog/2020/01/31/reprobioinformatics/ Fri, 31 Jan 2020 00:00:00 +0000 https://www.rostrum.blog/2020/01/31/reprobioinformatics/ REPRODUCIBILITY 4 LYFE (via Bioinformatics London’s Meetup page) tl;dr I spoke at the latest Bioinformatics London Meetup (event link, Twitter) about workflow reproducibility tools in R. I explained the benefits of Will Landau’s {drake} package for doing this. Order, order Rich FitzJohn opened proceedings with an excellent introduction to his {orderly} package (source) that is intended for ‘lightweight reproducible reporting’. In short, the user declares inputs (anything, including things like SQL queries and CSV files) and artefacts (results) of their analysis. https://www.rostrum.blog/2020/01/22/repro-three-things/ Wed, 22 Jan 2020 00:00:00 +0000 https://www.rostrum.blog/2020/01/22/repro-three-things/ Avoid being this guy (Threddy the T. rex via Giphy) Reproducevangelism I spoke at the Department for Education’s Data Science Week. I wanted everyone – newer and more experienced users alike – to learn at least one new thing about reproduciblity with R and RStudio. The slides are embedded below and you can also get them fullscreen online (press ‘F’ for fullscreen and ‘P’ for presenter notes) and find the source on GitHub. https://www.rostrum.blog/2019/12/27/pkgs-2019/ Fri, 27 Dec 2019 00:00:00 +0000 https://www.rostrum.blog/2019/12/27/pkgs-2019/ Marie Kondo (Netflix via Giphy) Thank you package-makers I’ve used a lot of packages in 2019 and many have brought great joy to my R experience. Thank you to everyone who has created, maintained or contributed to a package this year. Some particular packages of note for me have been: 🤖 {usethis} by Hadley Wickham and Jenny Bryan 🦆 {drake} by Will Landau 🐈 {purrr} by Lionel Henry and Hadley Wickham And some honourable mentions are: https://www.rostrum.blog/2019/08/25/holepunch-drake/ Sun, 25 Aug 2019 00:00:00 +0000 https://www.rostrum.blog/2019/08/25/holepunch-drake/ tl;dr Binder lets people explore your GitHub-based R code in a live, browser-based instance of RStudio – for free. Set-up for R projects is quick with {holepunch}. I’ve used {holepunch} on my {drake} demo repo. Click the ‘launch binder’ badge in the repo’s README. Icing on the {drake} I wrote about how Will Landau’s excellent {drake} package could be used to minimise errors and speed up the production of statistical reports by the UK government. https://www.rostrum.blog/2019/07/23/can-drake-rap/ Tue, 23 Jul 2019 00:00:00 +0000 https://www.rostrum.blog/2019/07/23/can-drake-rap/ tl;dr The {drake} package records file interdependecies in your analysis. When files are changed, {drake} only re-runs the parts that need to be re-run. This saves time and reduces error. This could be useful for Reproducible Analytical Pipelines (RAP), an automated approach to producing UK government statistics that minimises error and speeds production. Make it to make it Analysis projects can become complicated as multiple inputs, script files and outputs build up.