But the heartiest R pirate knows of the legendary {pirate} package (part of the {yarrr} fleet). With a single chant:
In the vast, churnin’ ocean of data science, where spreadsheets be the dull harbors and SAS be the tyrannical navy, there sails a brave breed of coder: the . Armed not with a cutlass, but with a tidyverse oar and a chest overflowin’ with ggplot2 treasures. r pirate
So raise a grog (or a warm coffee) to the R pirate: may your p-values be low, your plots be fierce, and your NA s never sink your ship. But the heartiest R pirate knows of the
🏴☠️📊 Note: The real package is {yarrr} (Yet Another R Regression Review) by Nathaniel Phillips, featuring pirateplot . If ye want the actual help file, type ?pirateplot in R after installin’ yarrr . So raise a grog (or a warm coffee)
The true R pirate lives by the code (of conduct, and of <- ). They reject the click-and-point galleons of proprietary software. Instead, they hoist the Jolly Roger of reproducibility—every map, every loot chest (data frame), and every cannon blast (statistical test) logged in an R Markdown logbook.