R-bloggers

The most valuable feedback often comes not from what users say, but from what they do! When was the last time you clicked a “Give Feedback” button in an app? Exactly. Yet product teams keep adding these explicit feedback mechanisms, hoping for insights that rarely materialize into actionable data. In ...

Open-source tools are growing in popularity within the pharmaceutical industry. Pharmaceutical companies such as Roche, Novo Nordisk, GSK, Johnson & Johnson, Novartis, Gilead, and Pfizer have all made significant contributions to open-source by providing insights into their integration of open-source technologies through shared open repositories. One of the examples are Boehringer ...

In January, one hundred eighty-six new packages made it to CRAN. Here are my Top 40 picks in sixteen categories: Archaeology, Artificial Intelligence, Computational Methods, Ecology, Epidemiology, Finance, Genomics, Health Technology Assessment,...

Since the initial launch in 2021, our R-universe platform has steadily grown into a comprehensive infrastructure for publishing and discovering R material. As functionality keeps evolving and community adoption increases, we felt the need for a centra...

Delivering the ShinyConf 24 keynote for the Shiny in Enterprise track, Eric Kostello, Executive Director of Data Science at Warner Brothers Discovery, discussed the instrumental role Shiny and its evolution has played in projects he has been involved in over the last decade. Big things are happening at ShinyConf 2025! Stay ahead ...

Presenting 'Online Probabilistic Estimation of Carbon Beta and Carbon Shapley Values for Financial and Climate Risk' at Institut Louis Bachelier for the 18th FINANCIAL RISKS INTERNATIONAL FORUM

We are excited to invite you to the Appsilon Tiny Shiny Hackathon, a four-hour online challenge where developers can showcase their creativity and technical skills by building applications that combine Shiny and AI. ShinyConf 2025 is coming—are you ready? Join us for an exciting event filled with insights, innovation, and ...

At Appsilon, we’ve been integrating Large Language Models into Shiny for Python applications for a while now. One thing became clear: the challenge isn’t in the initial integration. Shiny for Python’s ui.Chat component makes that straightforward. The real complexity lies in building applications that can evolve ...

Data never stays in one place for long. Any business or team that works with data needs to be thinking about how data moves from one place to the next. This often happens multiple times, continuously, and in multiple different streams. The conce...

In the past, many organizations relied on static file reports to make decisions. Typically, several Excel and PowerPoint reports are generated each month. Management would gather, discuss results, decide, and move to email other systems or meet with their teams to pass these decisions forward. There are multiple problems with ...

Customizing the {riskassessment} App based on your organization’s needs makes validating R packages in regulated industries like pharma more efficient and compliant. Strict compliance rules and best practices mean organizations need a reliable way to assess and approve packages. The {riskassessment} App, built on {riskmetric}, provides a structured, user-friendly ...

This post reproduces Dr. Adam Bonica's analysis into the relationship between the ideological alignment of government agencies and the targeting of layoffs by the Department of Government Efficiency (DOGE).

Introduction Do you have a R package that’s just on GitHub? How often do you check it? CRAN follows a rolling release model, so any day one of your package’s dependency packages could be updated - breaking your package! Or maybe you teach a...

ggplot2 is a powerful and well-known data visualization package for R. But do you know what gg stands for? It actually refers to the Grammar of Graphics, a conceptual framework for understanding and constructing graphs. The core idea behind the Gramm...