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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

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Tagging Bioconductor packages with EDAM

R-bloggers ·

2025/07/18

IntroductionThe EDAM ontology is used to provide conceptual organization of resources in major initiatives like ELIXIR bio.tools and Galaxy. Bioconductor’s methods and data are tagged using an ad hoc terminologic hierarchy called biocViews. In... Continue reading: Tagging Bioconductor packages with EDAM

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Organizing R development using srcpkgs

R-bloggers ·

2025/07/17

Overview This is an introduction on organizing R projects using source packages (powered by my R package srcpkgs). It is based on notes for a talk I have on 2024-05-27 for the Swiss Institute of Bioinformatics Vital-IT group Analysts meeting. T... Continue reading: Organizing R development using srcpkgs

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Testing Legacy Shiny Apps: Start with Behavior, Not Code

R-bloggers ·

2025/07/16

Adding acceptance tests first makes refactoring safer. Continue reading: Testing Legacy Shiny Apps: Start with Behavior, Not Code

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R Package Quality: Maintainer Criteria

R-bloggers ·

2025/07/15

This is final part of a five part series of related posts on validating R packages. Other posts in the series are: Validation Guidelines Package Popularity Package Documentation Code Quality Maintenance (this post) At last we come to the final ... Continue reading: R Package Quality: Maintainer Criteria

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Repost: Tidy RAG in R with ragnar

R-bloggers ·

2025/07/15

Reposted from the original at: https://blog.stephenturner.us/p/tidy-rag-in-r-with-ragnarRetrieval augmented generation in R using the ragnar package. Demonstration: scraping text from relevant links on a website and using RAG to ask about a unive... Continue reading: Repost: Tidy RAG in R with ragnar

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With help from LLMs (e.g. Deepseek) ! an R function...

R-bloggers ·

2025/07/15

Upon users' query, language learning models like ChatGPT and Deepseek can generate useful programming codes having been trained on many codes and texts available on the Internet. However, at least according to my experience the generated sc... Continue reading: With help from LLMs (e.g. Deepseek) ! an R function that filters a list of vectors using indices from the unlisted data

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From Model to Meaning: How to use the marginaleffects...

R-bloggers ·

2025/07/14

Join our workshop on From Model to Meaning: How to use the marginaleffects R package to interpret results from statistical or machine learning models, which is a part of our workshops for Ukraine series! Here’s some more info: Title: From Model to Meaning: How to use the marginaleffects R ... Continue reading: From Model to Meaning: How to use the marginaleffects R package to interpret results from statistical or machine learning models workshop

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Nested Forecasting: Analyzing the Relationship...

R-bloggers ·

2025/07/14

The prevailing opinion is that because countries are exporting more goods to the US than it exports to them, resulting in a trade deficit. In return for their exports, these countries receive US dollars, which they often use to purchase US government bonds and stocks. Over time, this process contributes ... Continue reading: Nested Forecasting: Analyzing the Relationship Between the Dollar and Stock Market Trends

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Benchmarking memory usage in R

R-bloggers ·

2025/07/14

Benchmarking memory usage in R Profiling memory in R has never been a trivial task. In this post, I would like to emphasize that currently popular methods are quite inaccurate and should therefore be used with caution. More importantly, they sh... Continue reading: Benchmarking memory usage in R

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What We Learned from Our First Data Science for Open...

R-bloggers ·

2025/07/14

A Global Response to a Critical Need 🌍 When we launched the first Data Science for Open WASH Data (ds4owd) course in October 2023, 235 WASH professionals from 46 countries around the world signed up—validating our belief that this community is ... Continue reading: What We Learned from Our First Data Science for Open WASH Data Course

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A modern introduction to probability and statistics...

R-bloggers ·

2025/07/11

In the plane to Bengaluru, I read through the book A modern introduction to probability and statistics, by Graham Upton—whose Measuring Animal Abundance I reviewed for CHANCE a while ago—, which is based on the earlier Understanding Statistics, written jointly with Ian Cook. (Not to be confused with A ...Continue reading: A modern introduction to probability and statistics [book review]

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Apply the Dracula Theme to Quarto Websites

R-bloggers ·

2025/07/11

I am something of a Dracula theme fanatic. After first discovering the open-source theme in RStudio, I had to see if it was supported by other applications. To my delight, I found custom Dracula themes for over 400 applications. Applying these th... Continue reading: Apply the Dracula Theme to Quarto Websites

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Exploring R and Rust in Bioinformatics – Online...

R-bloggers ·

2025/07/11

Join us for an open developer forum exploring how R and Rust can work together in bioinformatics and Bioconductor development. Organised and hosted by Lluís Revilla (Bioconductor Community Advisory Board), this online session will discuss techn... Continue reading: Exploring R and Rust in Bioinformatics – Online Developer Forum, 28 July 2025

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How to choose an IDE

R-bloggers ·

2025/07/11

When it comes to choosing an IDE to install there are lots of different choices out there, each with different pros and cons. This blog post isn’t about recommending or endorsing any specific IDE, but more about what questions you might want to a... Continue reading: How to choose an IDE

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R Package Quality: Code Quality

R-bloggers ·

2025/07/10

This is part four of a five part series of related posts on validating R packages. Other posts in the series are: Validation Guidelines Package Popularity Package Documentation Code Quality (this post) Maintenance In this post, we’ll take... Continue reading: R Package Quality: Code Quality

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Standard Deviation vs. Standard Error: Meaning,...

R-bloggers ·

2025/07/10

The left side illustrates standard deviation as the spread of individual data values around the population mean (μ). The right side shows standard error as the variability in sample means (x̄) obtained from repeated sampling. Notice how the S... Continue reading: Standard Deviation vs. Standard Error: Meaning, Misuse, and the Math Behind the Confusion

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data.table is a NumFOCUS project!

R-bloggers ·

2025/07/10

We are SO excited to announce some massive news for the data.table community: data.table is now a NumFOCUS Sponsored Project!!! For those who aren’t familiar, NumFOCUS is an incredible nonprofit organization that supports open source projects.... Continue reading: data.table is a NumFOCUS project!

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Monads everywhR

R-bloggers ·

2025/07/10

A monad is a very useful pattern. If you don’t know what it is, then read my post from a few years ago, watch this excellent video, and you can also read J. Carroll’s insightful post. Once you think you get the concept, this blog post will ... Continue reading: Monads everywhR

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Paradoxes in Credit Risk II: The Through-the-Door...

R-bloggers ·

2025/07/10

In this post, I want to describe one of the most important aspects of credit risk modelling and explain how it also comes up in many other fields. Previous posts in this series: Paradoxes in Credit Risk I: Simpson’s Paradox What is the through-the-do... Continue reading: Paradoxes in Credit Risk II: The Through-the-Door Problem

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Bioconductor’s First Microbiome Course in Brazil: A...

R-bloggers ·

2025/07/10

From April 23rd to 25th, 2025, we hosted the first Bioconductor microbiome course in Brazil, a three-afternoon workshop held at the Interunits Post-Graduate Program of Bioinformatics at the Federal University of Minas Gerais (UFMG) (link) i... Continue reading: Bioconductor’s First Microbiome Course in Brazil: A Successful Workshop at UFMG in Belo Horizonte

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1,340 results