Introduction to R Package: broom
David Robinson is Chief Data Scientist at DataCamp. He earned his PhD in Quantitative and Computational Biology from Princeton University. His interests include statistics, data analysis, genomics, education, and programming in R and Python. He is the author of several R packages, including broom, a package for converting messy model outputs into tidy data frames.
The concept of "tidy data" offers a powerful framework for structuring data to ease manipulation, modeling and visualization. However, most R functions, both those built-in and those found in third-party packages, produce output that is not tidy, and that is therefore difficult to reshape, recombine, and otherwise manipulate. This workshop introduces the broom package, which turns the output of model objects into tidy data frames that are well-suited to further analysis, manipulation, and visualization with input-tidy tools such as ggplot2 and dplyr.
Attendees should have previous R experience and be comfortable working with R data frames, but those with all levels of R proficiency, from "beginner" to "R guru" are welcome to attend.