What is renv RStudio’s renv package is a powerful dependency management toolkit for R. It allows you to create a lockfile that records the exact versions of R packages used in a given project, and provides tooling to install exactly those same versions on another machine, or at a later point in time. This is very useful to create an isolated project environment for reproducibility or production purposes.
Continuous deployment in r-universe A major difference between r-universe and static repositories like CRAN and BioConductor is continuous deployment: packages in r-universe are continuously built in CI and immediately deployed to our package server. This package server stores binaries and metadata in a database, which enables us to dynamically query and expose all the package data through APIs, dashboards, feeds, etc.
Badges in r-universe After creating your personal universe, the dashboard on https://{yourname}.r-universe.dev shows the version and other details for each package in your repository. We have also added a new tab that lists the available badges for the repository.
Have you ever found a command-line tool that’s perfect for getting your job done, and wanted to use it from an R script or package?E.g. some sort of scientific software providing a specific functionality made available though a command-line interface (CLI)? In this post, we have a look at a few options for writing such CLI wrappers in R.In particular, we compare the base R functions system() and system2(), the sys package and the processx
TLDR: As of today, the pkgdown sites for all rOpenSci packages on our docs server are built on r-universe. This is an internal change; no action is required for package maintainers. From Jenkins to r-universe For the past 2 years we have been using a Jenkins server to automatically build the pkgdown sites for all rOpenSci packages, which get published on https://docs.ropensci.org.
A new rOpenSci package katex is now on CRAN.This package allows for converting latex math expressions to HTML and MathML for use in markdown documents or package documentation. The R package uses the katex javascript library, but the rendering is done directly in R using the V8 engine (i.e. server-side), which eliminates the need for embedding the MathJax library into html pages.
How to keep up with rOpenSci?We agree that we’re doing so much good work that it’s hard. 😉More seriously, we’ve been curating and sharing a news digest with our community for years because we believe it to be useful.Over time its structure and infrastructure have evolved.In this post we’ll share how we currently prepare content for the newsletter and send it to subscribers’ mailboxes, as automatically as possible.
R-universe: your personal R space The r-universe platform provides users and organizations with a personal CRAN-like repository for publishing software, rmarkdown articles, and other content that fits in an R package.
Browsing articles on R-universe In the past weeks we have extended the R-universe build system and front-ends with some new features for publishing articles . Articles can be used for documentation of R packages, but also for other purposes, such as reports, tutorials, papers, or research compendia.Publishing of articles in R-universe is based on the R vignette system, and we may add support for other types of articles later on. The
The R-universe build system The R-universe system is a complex effort, consisting of numerous frontend and backend pieces that operate across various platforms. A key challenge in developing such a system is managing overall complexity by finding ways to reduce the problem into smaller, loosely coupled components, which can be thought of, and developed, somewhat independently.
