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Defensive R Programming

Learn defensive programming in R to make your code more robust.

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4 Hours16 Videos51 Exercises3,057 Learners
3400 XP

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Course Description

Writing R scripts is easy. Writing good R code is hard. In this course, we'll discuss defensive programming - a set of standard techniques that will help reduce bugs and aid working in teams. We examine techniques for avoiding common errors and also how to handle the inevitable error that arises in our code. The course will conclude looking at when to make the transition from script to project to package.

  1. 1

    Avoiding Conflict


    In this first chapter, you'll learn what defensive programming is, and how to use existing packages for increased efficiency. You will then learn to manage the packages loaded in your environment and the potential conflicts that may arise.

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    Defensive R Programming
    50 xp
    Real Programmers...
    50 xp
    Don't reinvent the wheel/package
    50 xp
    Updating Packages
    50 xp
    Out of Date Packages
    100 xp
    Task Views
    50 xp
    Packages and Namespaces
    50 xp
    Number of Loaded Packages
    50 xp
    Counting Exported Functions
    100 xp
    The Conflicted Package
    100 xp
  2. 4

    Creating a Battle Plan

    Creating a script is nice, but working on a project with several scripts and assets requires structure. This final chapter will teach you good organization practices, so you can go from script to package with an optimal workflow.

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In the following tracks

R Programmer


Richie CottonHadrien Lacroix


Intermediate R
Colin Gillespie Headshot

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

Colin is the author of Efficient R Programming, published by O'Reilly media. He is an Associate Professor of Statistics at Newcastle University, UK and regularly works with Jumping Rivers to provide data science training and consultancy. He is the only person in history to move to Newcastle for better weather.
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