R-bloggers

In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using the rstan package as a front end. We did this to hint a...

Setup library(tidyverse) # As always library(brms) # For Bayesian modeling library(tidybayes) # For visualization library(patchwork) Introduction Ever since I’ve finished my grad studies (Few months ago), I wanted to experiment with so...

Intro In this post we will show how we can use the mlr3fselect R package to perform wrapped-based ensemble feature selection on a given dataset. Wrapper-based ensemble feature selection involves applying stability selection techniques (resamplin...

Beginners are sometimes confused by the fact that some R users use the native Base R pipe |__ and others use the {magrittr} pipe %__%. So in today’s video, I want to compare the two and show you the strengths and weaknesses of each one. Le...

Solving the Puzzle: The 6x10 Pentomino Challenge (with a Big Help) The 6x10 pentomino challenge asks you to fit all 12 pieces into a rectangle perfectly—no overlaps, no gaps, just pure geometric magic. There are 2339 unique solutions! My go-to...

Politicians can increase the appeal of their speeches through nonverbal cues such as gestures and vocal emphasis. Understanding the factors that make political speech appealing is central to political science research, yet studying nonverbal cues during political speech is difficult due to their audiovisual nature. Pose estimation models—a class ...

When you create a data visualisation using R (or any other software), a set of default colours is used. These aren’t always the most effective, or aesthetically pleasing, set of colours. That means that, at some point, you’ll likely want to...

Photo by Marco Verch, CC-2.0. Source The Twelve Coins Problem is a notoriously hard problem that comes in many flavors. I don’t know where it comes from originally, but it garnered quite a bit of attention from mathematicians in the mid-twe...

When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence. But that estimate is biased, because no classifier is perfect. For example, if your classifier tells you that you have 20% of positive ...

Ever wanted to have a clock on the wall or in the office, that is not binary. But it is QR-Code clock 🙂 Well, now you can have it. This useless R function generates new QR Code for every given…Read more ›

Pakcages Used in This Blog Post library(tidyverse) # Easily Install and Load the 'Tidyverse' library(cowplot) # Streamlined Plot Theme and Plot Annotations for 'ggplot2' library(sf) # Simple Features for R library(patchwork) # The Composer of ...