A technical guide on using the {gt} package to format and fix tables in Typst PDF documents, aimed at R users.
A tutorial on building a transformer-based language model in R from scratch, covering tokenization, self-attention, and text generation.
A tutorial on using the {fs} package in R for easier file path manipulation, extension management, and directory information retrieval.
Explains the key differences between the = and <- assignment operators in the R programming language, focusing on scoping and side effects.
A technical comparison of data.table and dplyr for data cleaning operations in the R programming language.
A tutorial for R users on mastering data wrangling in 5 progressive levels, using the dplyr package and the Ames housing dataset.
A tutorial on using the R package {blastula} to create and send automated emails with dynamic content and HTML formatting.
A tutorial on connecting to and querying SQL databases using the R programming language, including driver setup and error handling.
A tutorial on creating calendar heatmap plots using ggplot2 in R to visualize time-series data like flight frequencies.
A tutorial on advanced text styling in R's ggplot2, including dynamic color adjustment and using the new {marquee} package for markdown formatting.
A tutorial on enhancing line charts using ggplot in R, covering themes, colors, labels, and direct labeling techniques.
A technical guide explaining why ggplot2 line charts sometimes appear blank and how to fix the issue, focusing on data structure and grouping.
A tutorial on the six most fundamental R functions for data cleaning, using the tidyverse and palmerpenguins dataset.
Explains the difference between weather and climate using chaos theory and the Lorenz system, with R code examples.
A technical tutorial on using R and the rvest package to scrape data from multiple web pages, including handling pagination.
A guide with practical heuristics for converting ggplot2 (R) visualization code to plotnine (Python) code, including syntax and style differences.
A cheat sheet comparing matrix operations across MATLAB/Octave, Python (NumPy), R, and Julia for scientific computing and data analysis.
A tutorial on creating customizable heat maps in R using the gplots and RColorBrewer packages for data visualization.
