R-bloggers

R Tutorials Update Interested in more time series tutorials? Learn more R tips: Time Series Machine Learning (and Feature Engineering) in R, and Time Series in 5-Minutes, Part 6: Modeling Time Series Data. 👉 Register for our blog to get new ar...

rOpenSci Software Peer Review’s guidance has been compiled in an online book for more than one year now. We’ve just released its fifth version. To find out what’s new in our dev guide 0.5.0, you can read the changelog, or this blog p...

Since only one man was eliminated this week (for his failure to adequately compliment Clare), this week’s blog post focuses on the suitors’ Instagram accounts. On average, the men have roughly doubled their growth in instagram followers since the show began. Please check out our dashboard (built with shiny) ...

xai2shiny is a new tool for lightning-quick deployment of machine learning models and their explorations using Shiny.By Anna KozakThe explainability of machine learning models has already proven to be an essential part of building a successful model. T...

This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Let’s learn how to automate PDFs with R. Get the Code: GitHub Link Video Tutorial: YouTube Tutorial (Click im...

This post is part of a series on new features in RStudio 1.4, currently available as a preview release. RStudio v1.4 introduces the capability to configure your workbench with multiple source columns. Multiple source columns give you th...

LinkedIn |  GitHub |  Email | Data Venit Mors Velocitor Why would it be helpful to know the leading causes of mortality of a given population at a granular level and how they have been trending? Well, does it come into play when considering places to live or travel? Would having a large ...

For a year now, this course on Bayesian statistics has been on my to-do list. So without further ado, I decided to share it with you already. Richard McElreath is an evolutionary ecologist who is famous in the stats community for his work on Bayesian statistics. At the Max Planck ...

Series of useless R functions continues. This time writing long code to generate random data.frame.Read more ›

In this post we’ll cover the vapply function in R. vapply is generally lesser known than the more popular sapply, lapply, and apply functions. However, it is very useful when you know what data type you’re expecting to apply a function to as it helps to prevent silent ...

Well, it has been way too long since I posted something. As with most of you life during the pandemic has been interesting to say the least. I’ve been working hard (to include trying to find a new job), practicing good hygiene, socially distancing...

Welcome back to Swimming + Data Science friends. Last week something exciting happened - two things actually! First, the International Swimming League kicked off its 2020 season in Budapest. Second, and directly related, I released version 0.5.0 of SwimmeR to CRAN with functions to read ISL results from the inaugural 2019 season and from ...

Below you’ll find the complete code used to create the ggplot2 graphs in my talk The Good, the Bad and the Ugly: how (not) to visualize data at this year’s data2day conference. You can find the German slides here: You can also find a German blog article ...