Clean R Tests with `local_mocked_bindings` and Dependency Wrapping
Learn how to write reliable R tests by wrapping external dependencies and using `testthat::local_mocked_bindings`. Make your tests fast, clean, and predictable. [Read more...]
R bloggers
A Personal Message from an Open Source Contributor
Dear fellow developers and data scientists... [Read more...]
Creating a simple R package with C++ code to sum \”quot;a + b\”quot;
A tutorial on creating a simple R package that includes C++ code for a basic operation (video). [Read more...]
A Personal Message from an Open Source Contributor
You can send me questions for the blog using this form and subscribe to receive an email when there is a new post.
Dear fellow developers and data scientists,
If everyone reading this gave just the price of a coffee, I could focus fully on open s... [Read more...]
Open Trade Statistics v6.0 is publicly available!
If this post is useful to you I kindly ask a minimal donation on Buy Me a Coffee. It shall be used to continue my Open Source efforts. The full explanation is here: A Personal Message from an Open Source Contributor.
You can send me questions for...
A Note on the Dirichlet Distribution
In 1839, the gifted mathematician Peter Gustav Lejeune Dirichlet was attached to the Philosophy department at the University of Berlin working for less than full pay even though he had become a member of the Prussian Academy of Sciences in 1832....
Open Trade Statistics v6.0 is publicly available!
Generating Synthetic Data with R-vine Copulas using esgtoolkit in R
T test in R
In this post, you will learn what a T Test is and how to perform it in R. First, you’ll see a simple function that lets you perform the test with just one line of code. Then, we will explore the intuition behind the test, building it step by ...
Key improvements in shapviz and kernelshap
My first GitHub Actions extension: A tool to apply Clang format to C++ code
If this post is useful to you I kindly ask a minimal donation on Buy Me a Coffee. It shall be used to continue my Open Source efforts. The full explanation is here: A Personal Message from an Open Source Contributor.
You can send me questions for...
My first GitHub Actions extension A tool to apply Clang format to C++ code
Augmented Dynamic Adaptive Model (ADAM) for Daily Seasonal Data
I have modeled the BIST 100 index to build predictive intervals. Because the data has daily seasonality, I preferred the modeltime::adam_reg function. I did not use the timetk::step_timeseries_signature function because the model cannot process too many exterior regressors, and the algorithm captures the trend and seasonality ...
All the Ways to Programmatically Edit or Parse R Markdown / Quarto Documents
Read it in: Español.Read it in: Français. If life gives you a bunch of Markdown files to analyse or edit, do you warm up your regex muscles and get going? How about using more specific tools instead? In this post, we shall give an overview of programm... [Read more...]
Generative AI and R workshops in Hobart Australia
Centre for Marine Socioecology R and AI workshops
In person Hobart Australia 11th and 12th November 2025
Course page and further details
Registration
The R program is a powerful tool for data analysis, but has a steep learning curve. Join us for a ... [Read more...]
Bayes on the Beach 2026 (University of Wollongong, NSW, 9-11 Feb.)
R vs SQL: Do You Still Need SQL if You’re a Data Scientist in R?
In analytics teams, the question often arises: “If I already know R, do I still need SQL?” The short answer is: yes—most of the time. R and SQL solve different—yet complementary—problems. SQL is the lingua franca for querying and shaping data where it lives (databases, data warehouses), ... [Read more...]
R vs Julia: Speed, Statistics, and the Future of Data Science
In the rapidly evolving world of data science and analytics, two languages stand out for statisticians and researchers: R and Julia. While R has been a trusted companion in statistical computing for decades, Julia has emerged as a modern language promising both speed and flexibility. This raises a crucial question: ... [Read more...]
R vs Python in 2025: A Complete Comparison for Data Science
In the world of data science, two programming languages dominate the conversation: R and Python. Both have powerful ecosystems, passionate communities, and proven success in real-world analytics. Yet the question persists: which language is better for data science? The truth is that both R and Python excel in different areas. ... [Read more...]
How to Collect and Clean Sports Data in R (FBref, Sports-Reference, ESPN + rvest Tutorial)
This hands-on tutorial walks through acquiring sports data for analysis in R—either by downloading CSVs from public sources or by using R-based APIs and web scraping. You’ll learn how to load raw data, deal with common “messiness” (types, missing values, inconsistent formats), and produce a tidy dataset that’... [Read more...]
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