R Pirate High Quality [UPDATED]

Why sail as a pirate in R? Because you answer to no Excel macro, no point-and-click prison. You plunder functions from CRAN, forge new ones from raw logic, and bury dead code with # comments. You share your treasure on GitHub for all buccaneers to fork.

🏴‍☠️📊 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 . r pirate

library(yarrr) pirateplot(formula = weight ~ Diet + Time, data = ChickWeight, theme = 2) …they unleash the —a fearsome, beautiful hybrid of a boxplot, violin plot, and beanplot, adorned with jittered points like cannonballs scatterin’ across a galleon’s deck. The colors be as bold as a Caribbean sunset, and the confidence intervals mark the spot where X marks the mean. Why sail as a pirate in R

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. You share your treasure on GitHub for all buccaneers to fork

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.