Header image via ChatGPT We recently released something unprecedented: an app that brings R to mobile. Yes, you read that right — R, the statistical programming language, is now in the palm of your hand. Whether you’re an environmental researcher, a student, or a logistics professional, R on mobile is here to revolutionize how you work with data on the ...

Context Recently, we worked on testing a {shiny} app that relies on values stored within the session$request object. This object is an environment that captures the details of the HTTP exchange between R and the browser. Without diving too deeply into the technicalities (as much as I’d love to 😅), it’s important to understand that session$request contains information provided by ...

TL;DR Rlinguo is a groundbreaking mobile application that uses R in the backend to handle its business logic. Available for download now: iOs on the AppStore Android on the Google Play Store Yes, you read that right: the future is now, and we can run R on your mobile phone. Once upon a time… I’ve been building web apps with ...

Illustration via ChatGPT. There are three hard things in computer science. One is making ChatGPT write “Invalidation” correctly on an image. ​ There’s a saying that goes: “There are only two hard things in computer science: cache invalidation and naming things.” Well, I’d argue there are actually three: 2. Cache Invalidation 1. Naming things 3. Asynchronous Computing   Yes, that’s ...

🏆 We are excited to announce that {signature.py} is the grand winner of the 2024 Shiny Contest in the category ‘Best Shiny Application with Python’! This year, Posit relaunched the Shiny Contest, a competition dedicated to the development of Shiny applications. Participants are asked to create a personal or professional application that addresses a specific problem. The applications are then ...

webR, and the next generation of app with R For the past couple of months, I’ve been sharing how webR will transform the way we build apps with R inside. If you’re unfamiliar, webR is a WebAssembly compilation of R. In simpler terms, it enables R to run within JavaScript environments. If you are familiar, you know it’s a bit ...

As package developers, we often focus on custom functions, their documentation, and unit testing. To provide a more complete user experience, it can be helpful to include data within the package. Here’s everything you need to know! If you’re not familiar with unit testing, we recommend reading our article on the subject: : https://rtask.thinkr.fr/expectations-verified-dive-into-the-world-of-unit-tests-with-expect_/ Short on time? Here’s the gist ...

Unit tests are essential in the development of an R package. They ensure that your functions work as expected while protecting you from regressions when you improve or modify your code. Thanks to the {testthat} package, writing and automating tests in R becomes simple and intuitive. At the core of this approach are the expect_*() functions, which play a central ...

A lot of cleanups, new features, and bug fixes for this new version of ‘gitlabr’. You will find brand-new CI/CD templates and functions to manage GitLab groups from R. Brand new gitlab-ci with ‘pak’, ready to use The template for checking R packages uses {pak} for dependency management. You will no longer have issues with missing system dependencies. You should ...

You think that some of the components of {shiny} are not very functional or downright austere? Are you looking to implement some feature in your app but it is not available in the {shiny} toolbox? Take a look at JavaScript! JavaScript is a very popular programming language that is often used to add features to web pages. With HTML and ...

Context Whether during the (training sessions) I can provide or the (coaching) sessions I can conduct, there is often a moment when I go on a long rant about the power and usefulness of caching. How awesome it is, not so complicated to set up, and super interesting. The last time I gave a presentation was to talk about ({targets}), ...

We’ve all felt it, that little wave of shiver through our skin as we watch the check of our newest commit running, thinking “Where could this possibly go wrong?”. And suddenly, the three little redeeming ticks 0 errors ✔ | 0 warnings ✔ | 0 notes ✔ Allelhuia! 🎉 We git commit the whole thing, we git push proudly our ...

{fusen} now relies on {lightparser} to detect the different parts of a Rmd or a Qmd file before inflating your flat file as a R package. Before the release on CRAN, I need you to test the development version and tell me if there are any edge cases with your flat files. TL;DR Please try the pre-release version of {fusen} ...

You’ve put together a great package that you’re proud of and you’d like to share it with the R community? Maybe even submit it to CRAN? Before you do that, you know that a few checks are recommended… yes you do! but devtools::check() returns 7 warnings, 12 notes and 200 unclear lines so…. So you’ve come to the right place! ...

No more amnesia for {fusen}! With v0.5, it now has “memory”, allowing you to inflate all your flat files simultaneously. The aim of this latest version of {fusen} is to provide an ever smoother package development experience, for both novice and experiences users. {fusen} continues to make life easier for package creators. One of the main changes in this new ...

{attachment} v0.4.0 stores your parameters in a configuration file for an easier use during your package development: run att_amend_desc() from anywhere, it will re-use your last set of parameters.  This comes with some breaking changes for a better experience.   The goal of attachment is to help to deal with package dependencies during package development. It also gives useful tools ...