Tutorials on statistics and machine learning with R
Latest posts
The 6 steps to finally lose weight (or solve almost any other problem) (with R code)
OK, I’m sorry for the clickbait title. But I really do think a lot of the insights in this guide are trivial and very easy to understand yet surprisingly unknown to many people.1 In this guide we will discuss how to lose weight or solve (almost) any other kind of problem2, and we’ll use statistics…
Beginner’s guide to machine learning in R (with step-by-step tutorial)
If you’re a graduate of economics, psychology, sociology, medicine, biostatistics, ecology, or related fields, you probably have received some training in statistics, but much less likely in machine learning. This is a problem because machine-learning algorithms are much better capable to solve many real-world applications compared with the procedures we learned in statistics class (randomized…
Finally understanding what “statistical significance” and p-values mean: A simple example (with R code)
One day I realized that I finally really understood what “statistical significance” means (p < .01). I had probably heard the term hundreds of times by then. If you are still struggling with the concept, I hope it doesn’t take you this long and perhaps this post can be of help. The article will be…
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For-loops and piep kicks 