There is a game I play / try to make myself okay / try so hard to make the pieces all fit / smash it apart / just for the f**k of it (Nine Inch Nails: The Big Come Down) After this rather distressing opening by the Nine Inch Nails, let’s turn to a more uplifting topic: video games! There...
What we want to do Recently, I used a correspondence analysis from the ca package in a paper. All of the figures in the paper were done with ggplot. So, I wanted the visualization for the correspondence analysis to match the style of the other figures. The standard plot method plot.ca() however, produces base graphics plots. So, I had to...
What I will show you In this post, I want to show you a few ways how you can save your datasets in R. Maybe, this seems like a dumb question to you. But after giving quite a few R courses mainly - but not only - for R beginners, I came to acknowledge that the answer to this question...
Previously, when Rcrastinate was still on blogspot.com, I had a first look at ten years of my playback history on Last.FM. But there is still a lot one can do with this dataset. I wanted to try {gganimate} for a long time and this nice longitudinal dataset gives me the opportunity. Loading and preparing the data First, I am loading the...
I am currently reproducing a statistical analysis a colleague of mine conducted in Stata. Obviously, I am using R for the replication. I came across what I think is Stata’s default behavior when using log-transformed axes. This is an example. What I like about the tick lines on the axes here is that they show the “distortion” that is...
Maybe you already heard of the package “scales” - and if you didn’t hear about it, you might have used it without knowing (e.g., in the context of ggplot2 graphs). I want to show you a few of the functionalities of the “scales” package. I will also show you how to create your own scales. There are several possible...
After a long time of running my blog on blogger.com, I finally wanted to move it to a solution that’s better suited for the kind of contents I am posting. Namely, that’s content related to R and everything you can do with it - from analyzing large datasets to technical details or benchmarking stuff. For me, it sounds really logical...
Please visit R-bloggers.com for more R-related blogs. It’s a wonderful resource for everything related to R, statistics, visualizations, and more!
Well, hello there! I moved Rcrastinate to a blogdown-based solution now. With this, I can use all the fancy stuff that comes with R Markdown documents. I’m happy that you’re here. You can still access my older posts over at blogspot.com.
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