Don’t show me puzzles, unless you want to be responsible for me staying up too late solving them. I’m far too easily nerd-sniped. This one was certainly the most complex I’ve ever solved. Quite complicated too, but definitely the most complex (you’ll s...

This blog post is divided in two parts: in the first part I’ll show you how to create a Linux Live USB with persistent storage that can be used as development environment, and in the second part I’ll show you the easiest way to set up RStudio and ...

Introduction Around last year I started blogging about Atlas.co and how its possible to imitate their product in R with a some readily available packages and the MapBox API. Recently I managed to take some time and refine and organize the code I had to make the package I ...

There are a growing number of Shiny users across the world, and with many users comes an increasing number of open-source “add-on” packages that extend the functionality of Shiny, both in terms of...

The problem of (comparable) forecasting Over the last years, time series forecasting has become a subfield of Data Science where well established statistical and econometric methods mingle with modern ML techniques. However, solid s...

Complex systems are difficult to understand. We need good tools to study the interactions that define such systems. In this blog post, we describe how the framework in paper Mogensen and Hansen (2022) provides such a tool. This summary of the paper...

Two hundred and two new packages made it to CRAN in September. Here are my “Top 40” selections in fourteen categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Pharmacology, Psychology, Science, Social Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods kimfilter v1.0.0: Provides an Rcpp implementation of the multivariate ...

The post How to use the image function in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to use the image function in R, When displaying spatial data (pictures), the image function can be used ...

Today, we’ll discover how you can use the power of R (and RStudio) to create, for instance, an interactive visualization with the ShinyApp framework. 💡 What is a ShinyApp? Shiny is a framework that allows you to create web applications - ShinyApp...

The post How to create a hexbin chart in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to create a hexbin chart in R, The hexbin package in base R provides a fun...

There are easier ways to build R Shiny apps, and the Rhino package is our solution for software engineers. In short, Rhino allows you to create Shiny apps like a full-stack software engineer by applying best practices, modularizing your code, testing it, making the UI beautiful, and providing a focus ...

I have a new hobby: camera traps, also known as trail cameras. Strapped to trees in my local bushland they sit in wait, firing automatically when triggered by a passing animal. Once in a while, something quite magical happens. The camera model I chose is the Campark T85 which for ...

Register Here: https://forms.gle/TGinG326AgHrfqej7 Join the Osun RUG, Nigeria at their event on A Survey of Changes around the Tidyverse Package in R with special guest, Chief Scientist at RStudio, Hadley... The post A Survey of Changes around the Tidyverse Package in R appeared first on R ...

The post The pheatmap function in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. The pheatmap function in R, the pheatmap function gives you more control ov...

Substantial new release of the R/exams package to CRAN with many new features and enhancements, especially for interfacing e-learning tools and learning management systems during the pandemic. Overview The new version...

The post How to create a heatmap in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. How to create a heatmap in R, you must convert a numerical matrix into a data frame...