The difference between = and <- finally explained
Explains the key differences between the = and <- assignment operators in the R programming language, focusing on scoping and side effects.
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 on creating a choropleth map with a histogram legend in R using ggplot2, sf, and patchwork to better visualize data distribution.
A tutorial for R users on mastering data wrangling in 5 progressive levels, using the dplyr package and the Ames housing dataset.
A technical tutorial on using R and the sf package to adjust map boundaries, specifically addressing the Crimea region's political representation in geographic data.
A guide to comparing survey sample demographics with national population data using R, covering both classical and Bayesian statistical methods.
A tutorial on using the R package {blastula} to create and send automated emails with dynamic content and HTML formatting.
A tutorial on using the R package {mapBliss} to visualize a multi-state US travel journey with custom maps and datasets.
A tutorial on using R to parse Apple Music XML data and create personalized listening statistics similar to Spotify Wrapped.
Analyzes four datasets with high collinearity between predictors, demonstrating statistical diagnostics and modeling approaches using R.
A statistical analysis of a classic 1986 dataset, demonstrating how modern displays make hidden structures visible without complex methods.
A technical guide comparing spatial patterns in categorical raster data using R, focusing on landscape metrics and code examples.
A technical guide comparing spatial patterns in categorical raster data using R, focusing on land cover change analysis.
The Big Book of R adds 10 new books, including Spanish titles and English works on data science, statistics, and fantasy football analytics using R.
A technical guide on comparing spatial patterns in continuous raster data using R, focusing on methods for arbitrary regions.
A technical guide comparing spatial patterns in continuous raster data for overlapping regions using R, focusing on NDVI data analysis.
A tutorial on connecting to and querying SQL databases using the R programming language, including driver setup and error handling.
A technical analysis using R and the DHBins package to visualize New Zealand's National Land Transport Plan expenditure data via hexmaps.
Announcing the 2024 Ihaka Lectures series, featuring talks on literate programming, data journalism, and using R in government.
Explores challenges and algorithms for weighted sampling without replacement in R, focusing on achieving specified marginal probabilities.