R-bloggers

IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A...

A platform for making informed, data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization

In the late 1970’s, people at Bell Laboratories designed the S programming language in order to facilitate interactive exploratory data analysis (Chambers 2016). Instead of writing, compiling, scheduling, and interpreting the output of individua...

Saving the sf Object (Pentomino Solutions) for Later Use as Parquet 📦 Confession time: I only discovered Parquet files last year. 🙈 For someone who spends a good chunk of their time in the data world, it felt like a secret club I wasn’t part of...

Loading and Exploring a Tidy Tuesday Dataset One of my New Year’s resolutions was to become less of a lurker and more of a doer within the Tidy Tuesday community. There had been one dataset that I was super interested in exploring, based on Dem...

In this post, Giles outlines a simple approach that can be used to identify potential 'data gaps' using R. Data gaps are assumed to denote the difference between the data required to achieve an outcome and the currently data available. To demonstrate how the methodology might be applied, the availability ...

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...