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...

This post contains a riddle/puzzle related to T. Moudiki's situation, including files and code snippets in R, Python, and bash. The ZIP file with a lot of details is available for download. An update with hints is provided.

The paper The Ten-Year Cycle in Numbers of the Lynx in Canada by Charles Elton and Mary Nicholson is a foundational work in population ecology and wildlife dynamics. They documented the regular, roughly ten-year population cycle of the Canadian Lynx (Lynx canadensis), observed in fur trade records from the Hudson’...

The future package celebrates ten years on CRAN as of June 19, 2025. I got a bit stalled over the holidays and while attending the fantastic useR! 2025 conference, but, as promised, here is the fourth in a series of blog posts highlighting recent...

The cpp4r package aims to help users to interact with R objects using C++ code.

I am pleased to announce that clitable, my new R package for printing tables in the terminal, just made its way to the CRAN!! It lets you print pretty colorful tables directly in the R console or terminal. I am also quite proud that it was accep...

In this article, we executed a successful integration of a non-standard Python forecasting model into the R Tidyverse/Tidymodels framework, primarily leveraging the reticulate package. 1. The Objective (The Challenge) The goal was to utilize a powerful, custom Python model (nnetsauce‘s MTS wrapper around a cyb$BoosterRegressor) and integrate its ...

We want to introduce a new, work-in-progress book on spatial data visualization in R using the tmap package. The current version of the book, titled Spatial Data Visualization with tmap: A Practical Guide to Thematic Mapping in R, is available on...

Introduction In the previous posts in this series (Using R in Excel) I have demonstrated some basic use-cases where using R in Excel is useful. Specifically we have looked at descriptive statistics, linear regression, forecasting, and calling Python. I...

Date: Thursday, 23rd October 2025 Time: 13:05 (UK Time) Duration: 55 minutes Cost: Absolutely free! Reserve your spot now: https://jumpingrivers.typeform.com/to/UmdyNbAs Ready to get more out of your Posit tools and understand how they can drive ...

Developing a Python package when coming from R: experience feedback I’ve learned a lot by developing and contributing to various R packages over the years. Without having (yet!) a personal package on CRAN, I use package development on a daily b...

Recently, a post on LinkedIn highlighted a Google Scholar profile of an apparently just starting PhD researcher who suddenly started accumulating unbelievable counts of citations to his questionably numerous papers. Usually, such profiles are a ...

This post contains a riddle/puzzle related to T. Moudiki's situation, including files and code snippets in R, Python, and bash. The ZIP file with a lot of details is available for download.

I typically work in quantitative ecology and molecular epidemiology, where we use statistical models to predict species distributions or disease transmission patterns. Recently though, I had an interesting conversation with a data science PhD student who mentioned they were applying GAMs to predict Customer Lifetime Value at a SaaS startup. ...