R-bloggers - Part 45

Introduction to Generalised Linear Models with Prussian Horse Kicks

August 1, 2025 | Chris Bowdon

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...

$E[Y] = \beta_0 + \beta_1 X_1 + \beta_2 X_2 ...$

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WebDev4R: Shiny Explained

August 1, 2025 | Albert Rapp

Shiny in a Nutshell Video Checkout the full R-Shiny playlist here 👉 PLAYLIST Code Press to unfold code library(shiny) ui [Read more...]

No More Data Gatekeepers: How We’re Making Analytics Accessible to Everyone

July 31, 2025 | Stencilled

Introducing AMI - Adaptive Media Intelligence, a platform that democratizes data access through conversational analytics, interactive dashboards, and AI-powered insights. [Read more...]

How to Test R Code That Uses LLMs, APIs, or Databases

July 31, 2025 | jakub::sobolewski

A Practical Guide to Faking External Dependencies in R for Fast, Reliable Tests. [Read more...]

Animated Maps with {ggplot2} and {gganimate}

July 31, 2025 | The Jumping Rivers Blog

In this blog post, we are going to use data from the {gapminder} R package, along with global spatial boundaries from ‘opendatasoft’. We are going to plot the life expectancy of each country in the Americas and animate it to see the changes from ...

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R Girls Open Event 2025

July 30, 2025 | Heather Turner

Forwards members Heather Turner and Ella Kaye were invited to attend the “Data Science for Girls” open event hosted by R-Girls at Green Oak Academy, Birmingham, UK on July 9 2025. They joined other guests from Ascent and Health Data Research UK...

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June 2025 Top 40 New CRAN Packages

July 29, 2025 | Joseph Rickert

In June, one hundred twenty-three new packages made it to CRAN. Here are my Top 40 picks in twenty-one categories: AI, Chess, Computational Methods, Data, Decision Analysis, Ecology, Epidemiology, Finance, Genomics, Linguistics, Machine Learning...

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What’s R vector, Victor?

July 29, 2025 | R on Biofunctor

In this week’s episode of the “Hidden Monads in R” series, I’ll explore the vector aspect of R data structures, and see how the flatmap operation can be quite useful. Flatmap? Aren’t all maps flat? The Nobel Prize organis...

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Health Technology notes: Copilot tips and guidance

July 29, 2025 | Vidisha Vachharajani

1. Introduction 1.1. The use of AI agents and the case for “prompt” choices We introduced the use of the AI pair programmer, Copilot, while working with tidyverse. In this post, we walk the reader through the fundamental driver of successfully...

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How to Write Cucumber Specifications the Right Way: From App Description to Scenarios

July 29, 2025 | jakub::sobolewski

Adding Cucumber specifications to an existing application? Learn how to write Gherkin scenarios that focus on user behavior, not implementation details. Use AI to iterate faster. [Read more...]

Refactoring Cucumber and Playwright Acceptance Tests with GitHub Copilot

July 28, 2025 | jakub::sobolewski

Given a set of existing Cucumber and Playwright acceptance tests, I asked Copilot to refactor them according to best practices for step organization and anti-patterns. [Read more...]

Efficient R – How to write faster code workshop

July 28, 2025 | Dariia Mykhailyshyna

Join our workshop on Efficient R – How to write faster code, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Efficient R – How to write faster code Date: Thursday, August 28th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Selina Baldauf, Selina is a theoretical ... [Read more...]

Can Juliet manage without Romeo? How much she should spend, save, and invest to achieve that?

July 26, 2025 | Kamil Wais

Meet Juliet Juliet just turned 20 and is ready to start her adult life. She’s landed a stable, well-paid job and her new journey begins. This time, life unfolds without Romeo. Think she can’t handle it? You might be surprised. Juliet feels anxious about her future. Each month she ...

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Part IV – Using R in Excel – Calling Python

July 24, 2025 | Adam Gladstone

Introduction In 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...

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Part III – Using R in Excel – Forecasting

July 24, 2025 | Adam Gladstone

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...

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Part II – Using R in Excel – Linear Regression

July 24, 2025 | Adam Gladstone

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...

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Part I – Using R in Excel – Descriptive Statistics

July 24, 2025 | Adam Gladstone

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...

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Shiny in Production 2025: R Dev Day

July 24, 2025 | The Jumping Rivers Blog

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...

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3 Reasons Blocking You From Doing Automated Testing

July 22, 2025 | jakub::sobolewski

Get them out of your way to start testing your code effectively. [Read more...]

Let’s talk about NA-s!

July 22, 2025 | R on Biofunctor

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...

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