Programming and tidy data analysis in R
A workshop to expand the skill-set of someone who has basic familiarity with R. Covers programming constructs such as functions and for-loops, and working with data frames using the dplyr and tidyr packages. Explains the importance of a "tidy" data representation, and goes through common steps needed to load data and convert it into a tidy form.
To be taught as a hands on workshop, typically as two half-days.
Developed by the Monash Bioinformatics Platform and taught as part of the Data Fluency program at Monash University. License is CC-BY-4. You are free to share and adapt the material so long as attribution is given.
Licence: Other (Open)
Contact: Paul Harrison paul.harrison@monash.edu
Keywords: R, Tidyverse, Programming
Additional information
Target audience: PhD student, Post-doc / Fellow, Academic
Resource type: Tutorial
Status: Active
Prerequisites:
Basic familiarity with R, such as how to call a function or assign a value to a variable.
Learning objectives:
Automate tasks with programming constructs such as functions and for-loops.
Understand the importance of a tidy data representation.
Ability to get data into a tidy representation, using programming and the dplyr and tidyr packages.
Date created: 2019-02-25
Date published: 2019-02-25
