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Intermediate R Programming and Reproducible Research

Intermediate R Programming and Reproducible Research
Event on 2018-03-19 12:00:00
About the Workshop Series In the first part of this workshop series we will teach the general principles for reproducible computer-based  analyses, along with specific methods and tools for reproducibility with R. You will: • learn how to construct reproducible, automatable computer workflows for data analysis, • learn to make document production a part of your reproducible workflow, • be introduced to Github – an online platform for personal and group projects The remainder part of the workshop will help you use R as a programming environment, allowing you to write more complex, yet clearer data analysis code. We will cover two fundamental concepts of R programming: functions and packages. Functions encapsulate a sequence of computations. You will learn: • the syntax of R functions • how functions can be reused and composed with your analytic workflows • guidelines for writing clear and reliable code Packages are R’s main method for creating and sharing bundles of related functions, classes, datasets, and help pages. You will learn: • the structure of a package, • how R manages libraries of installed packages, • how they are used to share both code and analyses Workshop 1: Monday, March 19th, 12:00 – 2:00pm Workshop 2: Wednesday, March 21st, 2:00 – 4:00 pm Workshop 3: Friday, March 23rd, 2:00 – 4:00 pm Pre-requisites “Introduction to R” and “Working with Data” workshop series or equivalent knowledge of R. Workshop Resources Set up, Notes & Exercises available soon Additional Resources: R for Data Science, Garrett Grolemund and Hadley Wickham. • Section 27 R Markdown Happy Git and GitHub for the useR, Jenny Bryan. • Section 1 Why Git? Why GitHub?• Section 16 New project, GitHub first• Section 17 Existing project, GitHub first UBC STAT 545 Data wrangling, exploration, and analysis with R, Jenny Bryan. • Write your own R functions, part 1, part 2, part 3• Write your own R package Contact the Instructor Carolyn Taylor – cgtaylor@stat.ubc.ca For more events, take a look at our event calendar

at Room 3, Life Sciences Institute Building
2350 Health Sciences Mall
Vancouver, Canada

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