R-bloggers

Algorithmic Fairness Tuesday, October 3rd, 2023, 7:30 PT / 10:30 ET / 15:30 CET 2nd joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Project. When & Where: Tuesday, October 3rd, 20...

Introduction Histograms are a fundamental tool in data analysis and visualization, allowing us to explore the distribution of data quickly and effectively. While creating a histogram in R is straightforward, specifying breaks appropriately can m...

I’ve always believed that how I spend my spare time will have an impact on my future. Based on this philosophy, I started tracking my spare time, which includes any time outside of sleep hours and my 9-5 work schedule. I now have over 6 months’ wo...

As mentioned in the first post in this series, this post will cover how to build a Mastodon bot. This can be fairly straightforward, but - as always - there are multiple ways to “make it work”. Fortunately, there are already some fantastic tutorials out there that can help you ...

Introduction Histograms are powerful tools for visualizing the distribution of a single variable, but what if you want to compare the distributions of two variables side by side? In this blog post, we’ll explore how to create a histogram of two ...

This blog post is a copy-paste from this vignette Introduction This vignette will walk you through setting up a development environment with {rix} that can be used to compile Quarto documents into PDFs. We are going to use the Quarto template for the JSS to illustrate the process. The first ...

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...

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...