Analysis of R 4.0's new default color palette, testing its accessibility for color vision deficiencies using the colorblindcheck package.
A technical tutorial on creating hexagon maps (hexmaps) for visualizing New Zealand District Health Board data using the R programming language and the DHBins package.
RSiteCatalyst v1.4.16 released with a community-contributed fix for using multiple classification columns in QueueDataWarehouse.
A tutorial on creating animated bar chart races in R using gganimate, applied to visualize historical temperature trends in Berlin.
Explains why parentheses cause R code assignments to print their values, covering invisibility flags and the behavior of the `(` function.
Explains why the rimu R package avoids tidyverse for type safety with multiple-response data, using a custom S3 class approach.
Introducing the 'rimu' R package for manipulating and analyzing multiple-response data, with examples using ethnicity survey data.
A technical guide on extending the R survey package to support instrumental variable regression (ivreg) with complex survey data.
Explores the psychological reasons behind heated debates in data science, like R vs. Python, and why they are often unproductive.
A statistical re-analysis of a published study on the mouse microbiome and autism, examining data and p-values from behavioral experiments.
Announcing padr v0.5.0, an R package update with new arguments for the `thicken` function to drop original datetime columns and handle tied observations.
Tutorial on loading CSV files in R from local directories and URLs with code examples.
Tutorial on loading CSV files in R using read.csv() from local directories, home paths, and URLs.
A guide to customizing CircleCI for R projects, covering workflows, caching packages, and code coverage.
A guide to mastering custom color palettes in ggplot for R, covering static colors, variable mapping, and gradient/ manual scales.
A tutorial on creating bar charts in R using the ggplot2 package, covering the basics of the geom_bar function and data visualization principles.
Explains the meaning and use of the tilde (~) symbol in R for statistical modeling and formulas.
Explains the meaning and usage of the tilde (~) symbol in R for statistical modeling.
A technical guide on handling 'plausible values' in survey data analysis using R, including code for the survey package.
A tutorial on creating line graphs in R using the ggplot2 package's geom_line function, with examples using the built-in Orange dataset.
