Course Overview
This two-day course will highlight useful tools of data manipulation from R’s Tidyverse suite of packages. The Tidyverse packages are built upon a philosophy of a tidy data structure: a rectangular (spreadsheet like) data structure where each row is one observation, each column is one variable, and each cell contains one value. The Tidyverse packages follow a set of shared rules and share a common syntax style, both designed to maximize code readability and reproducibility.
The emphasis of this short-course will be on the core packages dplyr and tidyr in combination with packages specific to manipulating date-time data (lubridate), text data (stringr), and categorical data (forcats). Class exercises will provide practice restructuring data, value replacement, group operations, and row- and column-wise functions.
Students are encouraged to bring spreadsheet data (Excel, csv, txt or similar) from their own work. The course content assumes some prior basic R experience and will require a current install of both R and RStudio.
Dr. Ashton Drew, is owner of data consulting firm KDV Decision Analysis LLC and an R Studio Certified Tidyverse and Shiny instructor.
REQUIREMENTS
All participants must have a computer (Windows, Macintosh) with current versions of R and R Studio pre-installed. If you have any problem installing them, please contact the course coordinator. Basic knowledge of R is required.
Webcam and headphones are strongly recommended, as well as a good internet connection.
Contact
courses@transmittingscience.com