R-bloggers

R-bloggers is a platform that leverages the content from various documents to provide concise summaries for its audience. The platform serves as a hub for information and insights related to a wide range of topics. By summarizing the content from diverse sources, R-bloggers aims to offer valuable and easily digestible information to its readers. The platform’s summaries are designed to provide a quick overview of the key points and insights covered in the original documents, making it a convenient resource for individuals interested in staying informed about the latest developments in various fields.

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Little useless-useful R functions – Jug solver with Bezout’s Identity

R-bloggers

We all were presented with this problem – water jug problem, which – in the time of Football world cup 2026 – can be translated to any liquid. *hint hint* But the riddle is as logical as mathematical....

Level With Me: Can the WGI Predict the WJP’s Rule of Law Scores?

R-bloggers

TLDR: The first post established that the WGI and WJP rule of law measures agree on how they rank countries. […] The post Level With Me: Can the WGI Predict the WJP’s Rule of Law Scores? appeared firs...

Reading ‘Radical Uncertainty’

R-bloggers

I recently read John Kay and Mervyn King’s book Radical Uncertainty as part of an economics book club and I thought I would share some thoughts on the book here. I’ve never read anything by John Kay b...

Tabular Foundation Models: A First Look with TabICL

R-bloggers

Tabular foundation models are a new category of machine learning model that can perform zero-shot (i.e., without any gradient updates) prediction on tabular datasets. They are pretrained on a distribu...

Mapping U.S. Rents by County in R with tidycensus, sf and ggplot2

R-bloggers

The U.S. Census Bureau publishes the rent that a typical household pays in every county in the country, updated every year, and gives it… Continue reading: Mapping U.S. Rents by County in R with tidyc...

Five pre-flight checks for your dashboard

R-bloggers

So you’ve built your data pipeline, you’ve designed your dashboard and you’ve connected the two through a real app. The screenshots match the designs and you can show it off and wow the stakeholders. ...

How much have prices increased?

R-bloggers

The Consumer Price Index (CPI) is a widely used measure of the prices of goods and services purchased by households. It’s the primary tool for tracking inflation and changes in the cost of living ove...

Repost: Automatically compile Quarto reports when new data lands

R-bloggers

Reposted from the original at https://blog.stephenturner.us/p/turn-new-data-into-quarto-reports-automaticallyThe {watcher} R package monitors your filesystem and run arbitrary code when files change. ...

Eruption: announcing new R package VolcanoPlotR

R-bloggers

This is a short post to announce the release of an R package, VolcanoPlotR. Background Using proteomics, we often want to compare two experimental groups. A popular way to visualise this comparison th...

From Peer Review to Mentorship: My rOpenSci Story

R-bloggers

Getting Involved with rOpenSci I first came to rOpenSci in 2022, though at the time I barely knew what it was. I was getting a statistical package of mine ready to submit to the Journal of Statistical...

My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R

R-bloggers

My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R. Continue reading: My last R posts: How conformalization helps w...

Tabler Server A minimal framework to create web dashboards in R

R-bloggers

I started working on a deliberately tiny alternative to Shiny Continue reading: Tabler Server A minimal framework to create web dashboards in R