R-bloggers

Our bags are packed, flights are booked, and we’re ready to head stateside for posit::conf(2023). We’re excited to be sponsoring the event this year, as well as presenting a few talks ...

Parquet – CC BY-SA by tetue Querying a remote parquet file via HTTP with DuckDB. The french statistical service (INSEE) has made available its first parquet file on data.gouv.fr in June. It’s a 470 MB file (from a 1.8 GB CSV) with ...

Machine learning (ML) is gaining widespread popularity in the life sciences. Crafting intuitive user interfaces speeds up data exploration and offers modernized ways to present analyses and outcomes from various ML models. For quite some time, R Shiny has been the go-to choice for researchers looking to create top-notch visualizations, ...

Introduction Histograms are a fantastic way to visualize the distribution of data. They provide insights into the underlying patterns and help us understand our data better. But what if you want to add some color to your histograms to make them ...

The R-Consortium recently talked to Adriana Picoral of the R-Ladies Tucson about the diverse R community in Tucson, Arizona. Adriana founded the R-Ladies chapter in 2018 and has been actively... The post Utilizing R for Reproducible Open Science Research in Tucson, Arizona appeared first on R Consortium.

Introducing the State of Shiny 2023 report – your comprehensive guide to the latest trends and insights in the dynamic world of Shiny. This report sheds light on the ever-evolving landscape of Shiny, a popular web application framework for R programming and Python languages, by uncovering the practices and challenges faced by ...

Appsilon’s Top 10 Picks for the Upcoming posit::conf 2023 The posit::conf 2023 event is on the horizon, and the Appsilon team is brimming with excitement as they unveil their selection of the most anticipated sessions. CEO Filip Stachura, President Damian Rodziewicz, and COO Paweł Przytuła have thoughtfully curated a ...

Introduction Data visualization is a crucial aspect of data analysis. In R, the flexibility and power of its plotting capabilities allow you to create compelling visualizations. One common scenario is the need to display multiple plots on the sa...

This post is part of the series maps-app. You can also find the current state of the project under my GitHub repo mapic. Scope of this post We are creating maps of data showing changes over a span of time for different countries and pointing at all kin...

You can find all the posts on this series under the tag maps-app (including the Spanish versions). You can also find the current state of the project under my GitHub repo mapic. Scope of this post We are creating maps of data showing changes over a spa...

The R User Group-Philippines (RUG–PH) celebrated its 10th anniversary on the 16th of August. The group marked the occasion with its first physical event since the pandemic, and it highlighted... The post R User Group Philippines Turns 10 appeared first on R Consortium.

At the 2023 R/Basel event, we noticed a number of speakers and participants who were keen to share or gather knowledge about the use of R and Shiny technologies in many diverse processes of the pharmaceutical industry. From ShinyConf to event’s like useR!’s R/Basel, professionals in the ...

Introduction If you’re an R enthusiast looking to take your data visualization to the next level, you’re in for a treat. In this blog post, we’re going to dive into the world of 3D plotting using R’s powerful persp() function. Whether you’re vis...

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...

The R Consortium is pleased to announce that on August 28, 2023, the R Submissions Working Group successfully submitted an R-based test submission pilot 3 package through the FDA eCTD... The post First Publicly Available R-Based Submission Package Submitted to FDA (Pilot 3) appeared first on R Consortium.