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R-bloggers | R news and tutorials contributed by (750) R bloggers - Software
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Bayesian proportional hazards model for a stepped-wedge design | R-bloggers
We’ve finally reached the end of the road. This is the fifth and last post in a series building up to a Bayesian proportional hazards model for analyzing a stepped-wedge cluster-randomized trial. If you are just joining in, you may want to start at ...
RObservations #51: Download Kaggle Datasets into the R Console with {RKaggle} | R-bloggers
I recently found some R code in the TidyTuesday repository which pulled data from Kaggle directly into the R console and I thought the idea was incredible! After looking around and seeing that there was no packages that already did this, I was inspired to create the {RKaggle} package which allows users to download datasets… Continue reading RObservations #51: Download Kaggle Datasets into the R Console with {RKaggle}
Collecting Stock Data Using R: A Quick Guide | R-bloggers
Collecting data can be a drudge for many tasks in economics or securities analysis. Fortunately, R has some good options available to streamline this task. Popular R Packages for Stock Data quantmod:The quantmod package is a favorite among financial analysts.It provides functions for quantitative financial modeling, including the retrieval of historical stock prices from sources […] The post Collecting Stock Data Using R: A Quick Guide appeared first on ProgrammingR.
Dealing with Duplicate Data in R workshop | R-bloggers
Join our workshop on Dealing with Duplicate Data in R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Dealing with Duplicate Data in R Date: Thursday, April 25th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) Speaker: Erin Grand works as a freelancer and Data Scientist at TRAILS … Continue reading Dealing with Duplicate Data in R workshopDealing with Duplicate Data in R workshop was first posted on March 25, 2025 at 11:57 am.
FDA Compliance in Software Development: Cases Where Poor Software Quality Led to Costly FDA Rejections | R-bloggers
If you work in pharma, you know how much time and money go into drug development. The last thing you want is a painful FDA rejection, one that not only costs your company millions but also delays critical treatments for patients who need them. Regulatory rejections can happen for many reasons, such as insufficient clinical […] The post appeared first on appsilon.com/blog/.
Conformalize (improved prediction intervals and simulations) any R Machine Learning model with misc::conformalize | R-bloggers
A new function in the misc package allows you to perform conformal prediction with any R machine learning model. Conformal prediction improves prediction intervals' coverage rate thanks to held-out set cross-validation errors.
Appsilon at ShinyConf 2025: Pushing the Boundaries of Shiny Development | R-bloggers
ShinyConf 2025 is almost here, and we’re excited to bring the community together again. As the organizers, we’ve put together a lineup of talks and workshops that focus on making Shiny apps faster, easier to use, and more scalable. Don’t miss out on ShinyConf 2025! Register now and join the global Shiny community for three […] The post appeared first on appsilon.com/blog/.
rOpenSci Participation at NumFOCUS’ DISC Unconf | R-bloggers
The NumFOCUS Diversity & Inclusion in Scientific Computing (“DISC”) Unconf took place as a hybrid event in São Paulo, Brazil, from March 14 to 16, 2025. Our community manager, Yanina Bellini Saibene, and rOpenSci Champions, Andrea Gomez Vargas and...
Thanks, on its way to CRAN | R-bloggers
The generic seal of approval from the CRAN team – countless hours spent tabbing between R CMD check and R CMD build logs, ‘Writing R Extensions’ and Stackoverflow approved, with a single line. The equivalent of “Noted, thanks” after a painstakingly well-written e-mail to your professor – except, this has an amazing feeling and a … Continue reading Thanks, on its way to CRANThanks, on its way to CRAN was first posted on March 24, 2025 at 1:00 pm.
cor Function in R | Calculate Correlation Coefficients in R | R-bloggers
How can learning the cor function in r transform your data analysis workflow into a precise, insightful, reproducible process that measures relationships between variables and drives actionable insights in research and business? It allows you to eff...
checkglobals: an(other) R-package for static code analysis | R-bloggers
Introduction An important aspect of writing an R-script or an R-package is ensuring reproducibility and maintainability of the developed code, not only for others, but also for our future selves. The modern R ecosystem provides various tools and packa...
A Bayesian proportional hazards model for a cluster randomized trial | R-bloggers
In recent posts, I introduced a Bayesian approach to proportional hazards modeling and then extended it to incorporate a penalized spline. (There was also a third post on handling ties when multiple individuals share the same event time.) This post ...
Learning To Create an R Package With Deliberate Redundancy 🤣 A Note For Myself | R-bloggers
🙈 Made a hilariously redundant R package for a simple OpenAI calls, but the real win was finally learning how to build an R package! 🛠️ Is it efficient? Absolutely not!Was it worth the time and experience? Yes! Will I do it again? Yes! Will it break? ...
How Many Ways to Color This Grid: Teaching Combinatorics Using R | R-bloggers
The Problem You have a 2x2 grid of squares, and you need to paint each square one of four colors: red, blue, green, or yellow. The restriction is that no two adjacent squares (sharing a side) can have the same color. How many valid ways you ca...
rOpenSci Code of Conduct Annual Review | R-bloggers
rOpenSci’s activities and spaces are supported by a Code of Conduct that applies to all people participating in the rOpenSci community, including rOpenSci staff and leadership. It applies to all modes of interaction including GitHub project repositori...
Template To Handle Code of Conduct Incidents Reports | R-bloggers
Handling reported incidents related to a Code of Conduct (CoC) is a complex and delicate task. Managing reports timely and with care is crucial for maintaining a healthy and inclusive community. To assist with this process we’ve developed a template, ...
Building a Flask service to get yfinance data – Part I | R-bloggers
Have you ever wanted access to __yfinance__ data in an Excel spreadsheet? If so, this two-part blog may be of interest. It describes an approach using a Flask API to access __yfinance__ data and the Power Query queries required to consume the data in Excel.
Consuming yfinance data in Excel – Part II | R-bloggers
Have you ever wanted access to __yfinance__ data in an Excel spreadsheet? If so, this two-part blog may be of interest. It describes an approach using a Flask API to access __yfinance__ data and the Power Query queries required to consume the data in Excel.
LLM + Quarto: Turn One-Off Reports Into Automated Solutions | R-bloggers
Your data scientist just spent three days crafting the perfect sales performance report. The sales team loves it. Next month, they’ll need it again. And the month after that. Sound familiar? Here’s a better way: A data scientist and a sales manager sit down for three hours. They describe what they need, let an LLM […] The post appeared first on appsilon.com/blog/.
Accounting for ties in a Bayesian proportional hazards model | R-bloggers
Over my past few posts, I’ve been progressively building towards a Bayesian model for a stepped-wedge cluster randomized trial with a time-to-event outcome, where time will be modeled using a spline function. I started with a simple Cox proportional...
My poster for the 18th FINANCIAL RISKS INTERNATIONAL FORUM by Institut Louis Bachelier/Fondation du Risque/Europlace Institute of Finance | R-bloggers
Online probabilistic estimation of carbon beta and carbon Shapley values for financial and climate risk at the 18th FINANCIAL RISKS INTERNATIONAL FORUM -- Institut Louis Bachelier/Fondation du Risque/Europlace Institute of Finance
announcing the nimbleMacros package and the use of macros in NIMBLE models | R-bloggers
Recent versions of NIMBLE now include the ability to use macros in models. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC, Laplace approximation, and SMC). A NIMBLE macro is a succinct syntax that expands to create the NIMBLE model code […]
A Guide to Quality Assurance in Pharma (With a Look at Drug Flow Optimizer) | R-bloggers
The pharmaceutical industry develops life-saving drugs while maintaining strict quality standards. Regulatory requirements ensure safety and compliance but can slow process changes due to extensive documentation and resource demands. GxP compliance can be complex, but we’ve got you covered. Learn how to navigate regulations in the pharmaceutical industry. Quality assurance (QA) plays a crucial role […] The post appeared first on appsilon.com/blog/.
How to get your LLM model to run and interpret R code | R-bloggers
How to get your LLM model to run and interpret R code Tools let AI models run code and access other applications. This can be a tool on your computer (like an R function), or access and API. By creating tools you can give your LLM access to databases...
Changing Forecasts for Python Questions on Stack Overflow | R-bloggers
I recently conducted a small time series workshop session for AI+ training hosted by ODSC. It went really well, and I’d be happy to offer longer interactive workshops going forward (please reach out if your team would like one!). One of the examples I shared was derived from the following […]
Automatic slide generation with autoslider.core | R-bloggers
We are excited to announce that the GitHub - insightsengineering/autoslider.core: autoslideR core {autoslider.core} package is now a part of pharmaverse! The normal process of creating clinical study slides is that a statistician manually ty...
LLM-assisted Summarization of Abstracts And Bluesky Post via R | R-bloggers
How do we identify relevant articles in our domains? This project uses example journal RSS feeds with abstracts, uses LLMs to extract points of interest, and shares insights on Bluesky—stimulating curiosity. Motivations There are countless excellent articles published daily, but how do we identify which ones are relevant to our domains? How can we extract the essence of an article—specifically, its abstract? Let’s build something that uses Bluesky as a forum to stimulate curiosity and learning. The plan is to leverage RSS feeds provided by journals (which hopefully include abstracts) and then use those abstracts with an LLM to capture the essence. This could trigger curiosity in several ways: perhaps something seems unusual or intriguing, prompting us to verify if the LLM interpreted it correctly. Maybe we’ve already read the abstract and article, but the LLM identified something we missed. Following the summary of the summary generation 🤣, how can we utilize Bluesky as a platform to share these insights? We’re going to explore how to implement all of these capabilities in R. Objectives: Motivation Get ID RSS Feed Summarize via LLM Post On Bluesky Limitation Final Thoughts Acknowledgement Lessons Learnt Get ID RSS Feed library(tidyverse) library(tidyRSS) url pull() ) ), temperature = 0 ) (summary
The ellmer package for using LLMs with R is a game changer for scientists | R-bloggers
The ellmer package for using LLMs with R is a game changer for scientists Why is ellmer a game changer for scientists? In this tutorial we’ll look at how we can access LLM agents through API calls. We’ll use this skill for created structued data fro...
The ellmer package for using LLMs with R is a game changer for scientists | R-bloggers
The ellmer package for using LLMs with R is a game changer for scientists Why is ellmer a game changer for scientists? In this tutorial we’ll look at how we can access LLM agents through API calls. We’ll use this skill for created structued data fro...