R-bloggers

Introduction When working with real-world datasets in R, it’s common to encounter missing values, often represented as NA. These missing values can impact the quality and reliability of your analyses. One important step in data preprocessing is...

Positron is the new beta Data Science IDE from Posit. Though Posit have stressed that maintenance and development of RStudio will continue, I want to use this blog to explore if Positron is worth the switch. I’m coming at this from the R developm...

Introduction Loops are a fundamental concept in programming that allow you to repeat a block of code multiple times. In C, there are three types of loops: for , while, and do-while. In this article, we’ll focus on the for loop and explore how i...

By Ewan CahenAdvent of Code 2024 has started this week! If you are not familiar with Advent of Code, it’s an annual coding challenge created by Eric Wastl. It’s like an advent calendar for coding challenges containing 25 daily programming puzzles, rele...

Introduction When working with data in R, it’s common to encounter missing values, typically represented as NA. Identifying and handling these missing values is crucial for data cleaning and analysis. In this article, we’ll explore various meth...

When teaching examples using R, instructors often use nice datasets, but these aren’t very realistic, and aren’t what students will later encounter in the real world. Real datasets have typos, missing values encoded in strange ways, and wei...

Introduction Are you working with a dataset in R that has missing values? Don’t worry, it’s a common issue that every R programmer faces. In this in-depth guide, we’ll cover various techniques to effectively handle and replace missing values in...

Yellow post box – CC-BY-SA by Elliott Brown Day 30 of 30DayMapChallenge: « The final map » (previously). Creating a raw polygon layer of french postal codes from points This data, although not a “real” administrative lim...

I recently read John Cox’s 2018 book Fast Money Schemes: Hope and Deception in Papua New Guinea and gave it a rare (for me) five star rating. It’s fascinating research into those involved in the U-Vistract pyramid scheme. At the time of writing U-Vist...

Introduction The command line is an essential part of working with Linux, and the bash prompt is your gateway to this powerful interface. While the default prompt gets the job done, customizing it can greatly enhance your productivity and make ...

Introduction Missing data is a common problem in data analysis. Fortunately, R provides powerful tools to handle missing values, including the zoo library and the na.approx() function. In this article, we’ll explore how to use these tools to in...

Joseph Rickert and I put together an experiment trying to both run a standard meta-analysis and then reproduce similar results directly using Bayesian methods. I think it came out really interesting and we share it here at R Works and also here on Github. A meta-analysis is an attempt to […]

Developing a Shiny app is relatively straightforward, but deploying it to a production environment is a whole another set of challenges. If you’re unfamiliar, R Shiny is a powerful web application framework for building interactive data visualizations, dashboards, and other data-driven applications. At Appsilon, we’re a big fan ...

If your organization is looking to build dynamic and interactive dashboards with a strong emphasis on performance or large scale, the Observable Framework could be an ideal fit. This article introduces the framework, its core features, and real-world use cases to illustrate how it can help your data science team ...