Data scientists, statisticians, analysts, researchers, and many other professionals write a lot of code. Not only do they write a lot of code, but they must also read and review...continue reading.
I’ve been working on an ebook (that you can read over here) made using Quarto. Since I’m also selling a DRM-free Epub and PDF on Leanpub I wanted to share...continue reading.
Building reproducible analytical pipelines with R Build reproducible analytical pipelines that will output consistent, high-quality analyses using the R programming language, Git, Github and Docker. Learn about functional and literate...continue reading.
My name is Bruno Rodrigues and hold a PhD in Economics from the University of Strasbourg. I’m currently employed as a statistician for the Ministry of Higher Education and Research...continue reading.
If you’re too busy to read this blog post, know that I respect your time. The table below summarizes this blog post: Need Solution I want to start a project...continue reading.
I’ve been working on a way to evaluate how old R code runs on the current version of R, and am now ready to share some results. It all started...continue reading.
I’ve had some discussions online and in the real world about this blog post and I’d like to restate why containerization is needed for reproducibility, and do so from the...continue reading.
This blog post is a summary of Chapters 9 and 10 of this ebook I wrote for a course The goal is the following: we want to write a pipeline...continue reading.
Open source is a hard requirement for reproducibility. No ifs nor buts. And I’m not only talking about the code you typed for your research paper/report/analysis. I’m talking about the...continue reading.
This blog post is taken from a chapter of my ebook on building reproducible analytical pipelines, which you can read here If you want to follow along, you can start...continue reading.
This blog post is divided in two parts: in the first part I’ll show you how to create a Linux Live USB with persistent storage that can be used as...continue reading.
Foreword: This is not a tutorial nor anything like that. I’m going to talk about free software, open source, and their licenses. I’m going to give my (non-)expert opinion on...continue reading.
The snake biting its own tail Disclaimer: I’m a beginner at JS, so don’t ask me about the many intricacies of JS. I’ve been working on a Shiny app for...continue reading.
I’ve tweeted this: Just changed like 100 grepl calls to stringi::stri_detect and my pipeline now runs 4 times faster #RStats — Bruno Rodrigues (@brodriguesco) July 20, 2022 much discussed ensued....continue reading.
R will always be arcane to those who do not make a serious effort to learn it. It is not meant to be intuitive and easy for casual users to...continue reading.
Learning number 1: make functions fail early When writing your own functions, avoid conversion of types without warning. For example, this function only works on characters: my_nchar <- function(x, result...continue reading.
I have this hypothesis that packages that introduce a unique syntax, or a workflow change, get adopted less by users, even if what these packages do is super useful. I’m...continue reading.
I have this hypothesis that packages that introduce a unique syntax, or a workflow change, get adopted less by users, even if what these packages do is super useful. I’m...continue reading.
I am very happy to annouce that the {chronicler} package, which I’ve been working on for the past 3 months has been released on CRAN. Install it with: install.packages(“chronicler”) {chronicler}...continue reading.
Hey kid, fancy some self-documenting {ggplots} like this one: Just read on! I’ve been working hard on a package that I’ve called {chronicler} (read my post on it here) which...continue reading.
Data Science / Python / R / R News / Statistics
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