What should I bring?

• A laptop.

• The latest version of R.

• A recent version of the RStudio IDE. (Even if you don’t use it, you’ll want to experience it for package development.)

• We’ll let you know what packages you need to install a few days before the class.

• At the course, you’ll download an (electronic) copy of all slides, code, and data.

Day 1 - R programming

Foundations - The day starts with some warmups to get your brain in R-mode, and to make sure your foundations are solid.

• Key data structures
• Subsetting
• Errors and debugging
• RStudio

Functional programming - At heart, R is a functional programming language, and functions can be used in many more ways than most R users assume. R has first class functions which means you can write functions that return functions, take functions as input, and save function in lists. This gives you a powerful set of tools for dealing with a broad class of problems.

• R’s rules for dynamic and lexical scoping
• Organize R programs around the “DRY” principle – “Don’t repeat yourself!”
• Understand functionals, like lapply() and friends.
• Use anonymous functions when a name isn’t needed.
• Build function factories: functions that write functions.

Object oriented programming - Though a functional language, R contains three systems of object oriented programming (OOP) features. These features revolve around the concepts of classes and methods and can dramatically simplify code. We’ll focus on S3, the oldest and most important form of OOP.

• S3 classes and constructors.
• How inheritance works in S3.
• Defining new S3 methods.
• Writing new generic functions.

Metaprogramming - Unlike most languages, R provides powerful tools for controlling when and where evaluation occurs. This lets you create functions tailored for interactive use that minimize typing with a little magic.

• Capture user input without evaluating it
• Control when and where R evaluates expressions and calls
• Mastering base functions such as with, subset and transform
• Writing code that modifies code

Day 2 - R Packages

Through a series of demonstrations and hands on exercises, you will learn how to quickly build, document, test, and release R packages. The day is organised around the most common components of an R package.

• R/: where your code lives.
• DESCRIPTION: managing package metadata.
• man/: documenting your functions with roxygen2.
• vignettes/: documenting your package with R Markdown.
• tests/: writing unit tests with testthat.
• NAMESPACE: being a considerate player in the R ecosystem.

The day concludes with a discussion of releasing your package, including mastering R CMD check, using github, continuous integration with traivs and submitting your package to CRAN.

Discounts

We have a limited number of seats set aside for full-time students at a discounted rate. Please contact Anne for details.

Payment policy

Individual payments for RStudio workshops must be made by credit card through Eventbrite. All Prices are in US Dollars.

For a group of 3 or more from one organization please contact RStudio if unable to purchase by credit card.

Note: RStudio keeps prices and the effort associated with purchasing lower for everyone by automating payments. We regret that we cannot arrange other payment methods for individual tickets.

Cancellation policy

In certain cases, we may need to cancel this workshop due to circumstances beyond our control or otherwise. If this happens, RStudio will refund all registration fees for those who signed up. RStudio is not responsible for any related expenses incurred by registered attendees (including but not limited to travel and hotel expenses).

Refund policy

• More than 2 weeks before course: full refund, less 10% adminstrative fee.
• 1-2 weeks before course: 50% refund.
• Less than 1 week before course: no refund available

Money-back guarantee

All public workshops hosted by RStudio come with a no-questions-asked money-back guarantee.

Copyright RStudio.