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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

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Managing Remote Database Connections from Quarto...

R-bloggers ·

2025/08/09

R offers excellent facilities for working interactively with SQL databases on a remote server. It becomes more challenging to do so in a self-contained Quarto document, especially if you wish to be able to render it without running into errors. F... Continue reading: Managing Remote Database Connections from Quarto Documents

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Predictive Modeling with Missing Data

R-bloggers ·

2025/08/09

Most predictive modeling strategies require there to be no missing data for model estimation. When there is missing data, there are generally two strategies for working with missing data: 1.) exclude the variables (columns) or observations (rows)... Continue reading: Predictive Modeling with Missing Data

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Shiny in Production 2025: Sponsors

R-bloggers ·

2025/08/05

Shiny in Production Conference wouldn’t be possible without our sponsors, so we wanted to take the time to tell you a little bit about them. Don’t miss out on this great chance to learn from R experts and network with fellow data science enthusiasts! Tickets are available at ... Continue reading: Shiny in Production 2025: Sponsors

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clav: R package and Shiny application for cluster...

R-bloggers ·

2025/08/05

Cluster analysis is a statistical procedure for grouping observations using an observation-centered approach as compared to variable-centric approaches (e.g. PCA, factor analysis). Whether a preprocessing step for predictive modeling or the ... Continue reading: clav: R package and Shiny application for cluster analysis validation

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AI Replacement and Wash Hires

R-bloggers ·

2025/08/05

I’m going to discuss some horrifying ideas in this post, so let’s begin with some good news! I’ve previously studied tech layoffs. According to my main source of data layoffs.fyi, the weekly number of layoffs has been steadily declining. In the US, th... Continue reading: AI Replacement and Wash Hires

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Metacore and Metatools 0.2.0

R-bloggers ·

2025/08/04

A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows • metacore {metacore} and GitHub - pharmaverse/metatools {metatools} have a new package maintainer Hi, everyone! I’m Liam and I’m excited to announce that I ... Continue reading: Metacore and Metatools 0.2.0

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Global Modeling with Automated ML: Impact of One Big...

R-bloggers ·

2025/08/03

Morgan Stanley analysts believe that the One Big Beautiful Bill will be a boon for Big Tech, as it will provide a cash influx to AI giants, thereby enhancing their dominance in future AI competitions. But Trump’s 1 August tariffs, which compensate for tax cuts in the aforementioned bill, seemed ... Continue reading: Global Modeling with Automated ML: Impact of One Big Beautiful Bill on Big Tech

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Introduction to Generalised Linear Models with...

R-bloggers ·

2025/08/01

Time to finally patch a hole in the leaky roof of my knowledge: what are Generalised Linear Models anyway? Groundwork: what are Linear Models anyway? Generalised Linear Models (GLMs) are a short step from Linear Models, provided you have the ri... Continue reading: Introduction to Generalised Linear Models with Prussian Horse Kicks

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Part III – Using R in Excel – Forecasting

R-bloggers ·

2025/07/25

Introduction We have already seen how to obtain descriptive statistics in Part I and how to use lm() in Part II. In this part (Part III) of the series we will look at using R in Excel to perform forecasting and time series analysis. In the previous tw... Continue reading: Part III – Using R in Excel – Forecasting

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Part II – Using R in Excel – Linear Regression

R-bloggers ·

2025/07/25

Introduction In the first part of this series, I looked at using R in Excel to obtain descriptive statistics. In this second part of the series I am going to look at using R in Excel to perform linear regression, specifically using the lm() function. l... Continue reading: Part II – Using R in Excel – Linear Regression

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Part I – Using R in Excel – Descriptive Statistics

R-bloggers ·

2025/07/25

Introduction The purpose of this series of posts is to demonstrate some use-cases for R in Excel using the ExcelRAddIn component (disclaimer: I am the developer of this add-in: ExcelRAddIn). The fundamental rationale for the add-in is that it allows ac... Continue reading: Part I – Using R in Excel – Descriptive Statistics

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Part IV – Using R in Excel – Calling Python

R-bloggers ·

2025/07/25

IntroductionIn the last post in this series I am going to look at calling Python from R. Even though Excel now provides a means of calling Python scripts directly, using the =PY() formula in a worksheet, there are still occasions when it is beneficial... Continue reading: Part IV – Using R in Excel – Calling Python

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Shiny in Production 2025: R Dev Day

R-bloggers ·

2025/07/24

Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025. This post will answer questions you may have, such as: “Do I need to be an R guru... Continue reading: Shiny in Production 2025: R Dev Day

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Let’s talk about NA-s!

R-bloggers ·

2025/07/23

ARTHUR: Well, what is it you want? HEAD KNIGHT: We want… a paste function that can deal with NA-s! A language for statistical computing clearly needs to be able to deal with missing values, and R has various ways to do so. I will briefly go th... Continue reading: Let’s talk about NA-s!

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rOpenSci News Digest, July 2025

R-bloggers ·

2025/07/23

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ Open Science with a Latin American Identity: Meet the New Cohort of... Continue reading: rOpenSci News Digest, July 2025

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3 Reasons Blocking You From Doing Automated Testing

R-bloggers ·

2025/07/23

Get them out of your way to start testing your code effectively. Continue reading: 3 Reasons Blocking You From Doing Automated Testing

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Tidyverse with GitHub Copilot for Healthcare...

R-bloggers ·

2025/07/23

1. Introduction and recap Healthcare analytics offers significant benefits to a wide range of stakeholders, including health administrators, organizations, and most importantly, doctors, nurses, and healthcare workers. In the first part of this... Continue reading: Tidyverse with GitHub Copilot for Healthcare Analytics – Part 2

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Trend-Anomaly Analysis of U.S. Federal Budget Balance

R-bloggers ·

2025/07/22

According to the Trend-Anomaly chart, after the liberation day tariffs, the U.S. Federal Budget Balance has recovered from the extremely high level deficit. Source code: Continue reading: Trend-Anomaly Analysis of U.S. Federal Budget Balance

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Numbers of the Beast: Sasquatch Distribution Modelling

R-bloggers ·

2025/07/21

The third OII Halloween Lecture sinks bodily into the tortured mass of data concerning cryptozoological sightings in North America. Drawing on over a century of shadow-haunted sightings documenting the curiously repellant presence of the North America Sasquatch, or Bigfoot, we aim to identify the factors associated with its presence, delineate ... Continue reading: Numbers of the Beast: Sasquatch Distribution Modelling

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Testing your Plumber APIs from R

R-bloggers ·

2025/07/20

Learn how to effectively test your Plumber APIs in R using a two-layer testing strategy that separates business logic from API contracts. Continue reading: Testing your Plumber APIs from R

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1,340 results