R Pirate [2024-2026]

But the heartiest R pirate knows of the legendary {pirate} package (part of the {yarrr} fleet). With a single chant:

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. r pirate

🏴‍☠️📊 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 . But the heartiest R pirate knows of the

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. You plunder functions from CRAN, forge new ones

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.

Ahoy, seeker of digital plunder! Here be a text on (a playful take on the {pirate} package in R, or just the swashbucklin’ spirit of R coding). Text: Sailing the R Seas with {pirate}