In the same way you fall learning to walk, you make mistakes learning R. The goal of this article was to regroup the most common mistakes one makes while learning R and to explain them in order for you you know how to fix them. Facing an issue, the most important advice would be : “Read the error message”. It ...

You know how to build a Rmardown, you were told or would like to put your work in a R package, but you think this is too much work? You do not understand where to put what and when? What if writing a Rmd was the same as writing a package? Follow the “Rmd-first” method and let {fusen} guide you ...

New version of {attachment} has been published on CRAN ! We continue to improve its functionalities to help you deal with dependencies in R, in particular during package development. Since our last blog post presenting the aim of {attachment}, two versions reached CRAN. The full documentation is available on the {pkgdown} website : https://thinkr-open.github.io/attachment. Still, for package developers, att_amend_desc() keeps ...

To ensure the reproducibility of your projects, you can develop in the Docker container that you will use to share your work. Indeed, what to do when your data analyses, publications, models are used by users with different versions of operating systems and R packages R? How do you ensure that your Dockerfile delivered with your package or project is ...

At the last Raddicts Paris Meetup, Romain Francois (to be followed on twitter here) made one strong impression, among others, with his RStudio console which indicates the active git branch and the RAM memory used by R. If you too want to have this (to shine in society or because you spend your time doing git checkout):   Here is ...

While working on our {gitdown} package, I wanted to show more information on the report generated by retrieving all issues of my Gitlab / Github repositories. Indeed, titles of issues could improve readability and information of the git report of this package. How can I download all issues information from git repositories? Context of {gitdown} development {gitdown} is a package ...

You have been working for years on your R scripts, and saved all versions as “script_v1.R”, “script_v2.R”, “script_v2_best-of-the-world.R”, … One day, you heard about git, a versioning system that allows you to make your files travel through time. But, how to transform a directory of falsely versioned files into a git repository and synchronize it online? Originally, I wanted to ...

One of the things that we keep promoting in the ThinkR team are good practices for production software engineering in R. Of course, that implies Shiny Applications—and even more if we introduce the {golem} package, which promotes good practices for “production-grade” Shiny application. But let’s take a step back and think about what makes a successful/production-grade Shiny Application. ...

The unprecedented health situation linked to Covid-19 has driven our team into a corner. Locked down during the lasted two months in France, we were no longer able to carry out in-person training sessions. But it wasn’t time to twiddle one’s thumbs.  All chances on your side for remote trainings in good conditions We learned and experimented new ways of ...

You plan to upgrade your server installation from Ubuntu 18.04 to Ubuntu 20.04 LTS? It is also the best time to migrate to R 4.0 ! By the way, if you always found difficult to install R packages for geographical data on Ubuntu, this time is over. Just follow the guide… Last time you read this kind of tutorial on ...

A little blog post about where to look if you want to get started with {golem}, and an invitation to code with us in October. ...

{golem} has been developed to help building big Shiny application to put in production. What if {golem} could be used to build another popular interactive web application, recently made available to R programmers: Dash ? Dash, a newcomer in interactive web applications A few days ago, Plotly announced Dash now available for R. After reading this announcement, I thought this ...

At useR!2019 in Toulouse, ThinkR opened a quizz allowing to win a pipe knight. About a hundred of respondents won this Playmobil. In this blog post, we review the questions and respondents answers. We’ll see that the crowd as almost always right, but they do not know who the real R oracle is… The quizz showed some difficulties and tricks ...

Documentation matters ! Think about future you and others. Whatever is the aim of your script and analyses, you should think about documentation. The way I see it, R package structure is made for that. Let me try to convince you. At use’R 2019 in Toulouse, I did a presentation entitled: ‘The “Rmd first” method: when projects start with documentation’ ...

As part of the development of a Shiny application for production using {golem}, we recommend, among other things, working with Shiny-modules. The communication of data between the different modules can be complex. At ThinkR we use a strategy: the stratégie du petit r. We explain everything in this article. What is a module? A module is the combination of two ...

“should we use shinyApp() or runApp() when deploying to production?” ...