R-bloggers

With multiple reports of influenza H5N1 cases that have no clear animal exposure, it is useful to consider what kinds of analysis would be required, and how easily this could be performed. As a starting point, this post reflects on some of the r...

Introduction Have you ever wanted to be able to quickly open a Data Science app, say RStudio Desktop or Positron in the current Finder window at the click of a button? We’ll see how to achieve this by creating Automator apps. Here’s a screenshot of...

A skeet floated across my Bluesky feed that looked at the cross-sectional relationship between incidence of depression in 2020 and voting for Trump in the 2024 Presidential election. The data in the skeet and immediate blog post was at state level, but...

Fascination with “Warping” … The “fish-eye” lens has always fascinated me. It was my gateway into photography—its quirky, distorted charm never failed to add whimsy to my shots. Some of my favourite memories are capturing our furry friends🐶🐽🐄. ...

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC, Laplace approximation, and SMC). Version 1.3.0 provides some new and improved functionality, plus some ...

Seigaiha 青海波 🌊 The Seigaiha (青海波) motif, literally translated as “blue ocean waves” is a classic Japanese pattern used in textiles, ceramics, kimono and art. It features stylized waves created with concentric circles forming arches. I just learned that it symbolizes surges of good luck - delightful and thought great start to have ...

I found Polars syntax is quite similar to dplyr. And the way that we can chain the functions makes it even more familiar! It was fun learning the nuances, now it’s time to put them into practice! Wish me luck! 🍀 Motivation In preparation for using more Python in 2025 and ...

From Henry Dudeney’s “Perplexities” article in the March 1925 issue of The Strand Magazine: A man went into a bank with 1,000 silver dollars and 10 bags. He said, “Place this money, please, in the bags in such a way that if I call and ask for a...

Introduction Data analysis in R often involves dealing with missing values, which can significantly impact the quality of your results. The complete.cases function in R is an essential tool for handling missing data effectively. This comprehens...

One hundred ninety-four new packages made CRAN’s final cut in November. Here are my Top 40 picks in nineteen categories: Botany, Climate Analysis, Computational Methods, Data, Ecology, Education, Environment, Epidemiology, Genomics, Health Techn...

The ICSDS 2024 meeting in Nice is quite impressive and not primarily because it is in Nice under a beautiful December sun. As other (numerous) IMS meetings I attended (since the initial one in Uppsala in 1990!), the program is of high quality and along topics that are currently moving fast or ...

Several days ago I saw a post on LinkedIn by Jornt Mandemakers with some very curious results from Gender and Generations Programme surveys. While representing interesting data, it was a perfect example of a way too common academic dataviz fallacy, an...

Introduction Missing values are a common challenge in data analysis, and R provides robust tools for handling them. The na.rm parameter is one of R’s most essential features for managing NA values in your data. This comprehensive guide will wal...