I have made a number of tutorials on a variety of R- and statistics-related topics. The list below shows descriptions of and links to these tutorials. Keep an eye on this page – I’m always adding more!
across: a summary of the
across()function which replaces the select helper functions such as
mutate_at()in dplyr 1.0.0
tidymodels: an introduction to the tidymodels package for conducting Machine Learning in a tidy way
purrr: an introduction to the purrr R package for iteration
The tidyverse: a two part summary of the tidyverse, aimed at helping practitioners transition from base R to the tidyverse. Part 1 focuses on tidy thinking, piping, dplyr and ggplot2, and Part 2 focuses on tidyr, purrr, readr, tibbles as well as lubridate, forcats and stringr
recipes: an introduction to using the recipes R package for pre-processing data prior to machine learning
scoped verbs: a summary of the usage of dplyr scoped verbs such as
interactive visualization: a tutorial on interactive viz prepared for the SGSA student seminar series
- ANOVA: an intuitive explanation of ANOVA prepared for the Practical Statistics group.