https://www.rostrum.blog/tags/xaringan/ Recent content in Xaringan on rostrum.blog Hugo -- gohugo.io en-gb Sun, 22 Mar 2020 00:00:00 +0000 https://www.rostrum.blog/2020/03/22/ninja-scaffold/ Sun, 22 Mar 2020 00:00:00 +0000 https://www.rostrum.blog/2020/03/22/ninja-scaffold/ Example of modified Ninjutsu for ‘scaffolding’ a {xaringan} slide. tl;dr Emi Tanaka‘s Ninjutsu CSS for {xaringan} breaks slides into ’cells’, which are useful for arranging plots, tables, etc. I’ve been experimenting with Emi’s CSS to create my own layouts. Slide themes The {xaringan} package by Yihui Xie – an implementation of remark.js – lets you create reproducible slides with R. You can create your own themes for {xaringan} by supplying some CSS. https://www.rostrum.blog/2020/03/12/knit-with-params/ Thu, 12 Mar 2020 00:00:00 +0000 https://www.rostrum.blog/2020/03/12/knit-with-params/ Driving a Wedge (via Giphy) tl;dr You want to use R to generate multiple reports from a single template, each containing different data. How? Create a parameterised RMarkdown template with a params YAML argument. Iterate over param values with rmarkdown::render() inside purrr::map(). I made a demo of this approach that focuses on parameterised {xaringan} slides. It includes a further {purrr} step with pagedown::chrome_print() to render the HTML outputs to PDF. 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/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/2019/11/01/usethis/ Fri, 01 Nov 2019 00:00:00 +0000 https://www.rostrum.blog/2019/11/01/usethis/ Ossie, a Cabinet Office cat (via @cabinetofficeuk) tl;dr I gave a talk about creating an R package with helper functions from the {usethis} package In the session I created a new package from scratch called {cabinet} for identifying the cats that live in the UK Government’s Cabinet Office See the slides in a dedicated window or view their source See the {cabinet} package source and its website Jump to a list of other materials Coffee packaging I gave a talk at a Cabinet Office Coffee & Coding session about building R packages from scratch. https://www.rostrum.blog/2019/05/24/xaringan-template/ Fri, 24 May 2019 00:00:00 +0000 https://www.rostrum.blog/2019/05/24/xaringan-template/ A remarkable ninja The {xaringan} package by Yihui Xie implements remark.js1 in R Markdown so you can create exciting presentations that contain reproducible R content.2 Yihui has encouraged people to submit styles—like the RLadies theme—to enrich {xaringan}. This post is about a specific theme I recreated for {xaringan} and shared in the {gdstheme} package along with an R Markdown template. Click on the slides embedded below and cycle through with your arrow keys, or you can open them fullscreen in a dedicated browser tab. https://www.rostrum.blog/2018/09/12/crosstalk-memes/ Wed, 12 Sep 2018 00:00:00 +0000 https://www.rostrum.blog/2018/09/12/crosstalk-memes/ EARL 2018 I gave a talk called ‘Crosstalk: Shiny-like without Shiny’1 at the 2018 EARL conference in London. The {crosstalk} package by Joe Cheng allows htmlwidgets—JavaScript visualisations wrapped in R code—to interact with each other. Filtering the data in widget causes all widgets to be filtered. This can be done inside an R Markdown document (including Flexdashboard) for easy server-less sharing in HTML format.