A tutorial on performing Bayesian proportion tests for categorical survey data using R and the {brms} package.
A technical exploration of using pairwise likelihood in linear mixed models with complex sampling, comparing results from svylme and lme4 packages.
The creator of the popular R package 'installr' is seeking a new maintainer due to a personal shift away from Windows OS.
A tutorial on creating maps of Tolkien's Middle Earth using R, the {sf} package, and {ggplot2} for GIS data visualization.
A statistical analysis using R and Bayesian modeling to convert Aragorn's Dúnedan age from Lord of the Rings into equivalent human years, based on Tolkien's writings.
Introducing the starBliss R package for creating custom, framed constellation maps based on location and date using ggplot2.
A tutorial on visualizing mixed effect regression models and their uncertainty using non-parametric bootstrapping in R with ggplot2.
An overview of open-source tools for annotating time series data, including their features, maintenance status, and use cases.
A guide on using the scales package in R's ggplot2 to format axes with natural log and base 10 log scales for better data visualization.
A technical tutorial on using R to read, analyze, and visualize your downloaded Twitter archive data, including tweets, likes, and ad history.
A guide to calculating marginal and conditional effects in generalized linear mixed models (GLMMs) using the R {marginaleffects} package.
Introduces new _flex() functions in the mapBliss R package for custom, per-label positioning on maps, enhancing map art creation.
A tutorial on creating biomass pyramid and funnel plots using ggplot2 in R, including code examples and customization tips.
A tutorial demonstrating how to use the R `slider` package for rolling window analysis, using NFL quarterback performance data as an example.
A tutorial on creating an R function to automate the generation of new Quarto blog posts, including directory structure and YAML front matter.
A tutorial on visualizing custom statistical models, including linear and non-linear fits, using ggplot2 in R for data science workflows.
Analysis of Auckland bus cancellations using R and GTFS data to visualize which trips are being removed from the timetable.
A technical walkthrough of visualizing and improving a graph of Auckland bus cancellation data using R, focusing on data representation and coding techniques.
A technical article explaining polynomial distributed lag models for regularization in time-series analysis, including code archaeology and R implementation.
Explains the differences between Bayesian posterior predictions, linear predictions, and expected predictions using R, brms, and Stan.
