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Defensive R Programming

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

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Descrição do Curso

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.
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  1. 1

    Avoiding Conflict

    Gratuito

    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.

    Reproduzir Capítulo Agora
    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    Out of Date Packages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. 2

    Early warning systems

    Programming is simpler when you get feedback on your code execution. In R, we use messages, warnings and errors to signal to keep the user informed. This chapter will discuss when and where you should use these communication tools.

    Reproduzir Capítulo Agora
    Early warning systems
    50 xp
    To TRUE or not to T
    50 xp
    Let's be evil
    100 xp
    If it weren't for those pesky kids
    50 xp
    Message in a bottle
    50 xp
    Did you get the message?
    50 xp
    Suppressing startup messages
    100 xp
    Stop being noisy!!!
    100 xp
    Using message in practice
    100 xp
    You have been warned
    50 xp
    Messages vs Warnings
    50 xp
    Suppressing warnings
    100 xp
    Stop (right now)
    50 xp
    Warnings vs Stop
    50 xp
    Using the stop() function
    100 xp
  3. 3

    Preparing your defenses

    We can avoid making mistakes using a consistent programming approach. In this chapter, we will introduce you to R best practices.

    Reproduzir Capítulo Agora
    Preparing your defences
    50 xp
    What does DRY mean?
    50 xp
    Refactoring: functions
    100 xp
    Just one comment
    50 xp
    Header comments
    100 xp
    A little bit dotty
    50 xp
    Use a full stop in variable names
    50 xp
    Avoiding the .
    100 xp
    Coding Style
    50 xp
    Importance of consistent style
    50 xp
    Static Code Analysis for R
    50 xp
    Code tidying
    100 xp
    More linting
    100 xp
  4. 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.

    Reproduzir Capítulo Agora
    A battle plan
    50 xp
    The importance of consistency
    50 xp
    Give me some space
    50 xp
    Human readable filenames
    50 xp
    What date format should we use?
    50 xp
    Organizing a project
    50 xp
    Avoiding absolute directories
    50 xp
    The input/ directory
    50 xp
    Absolute vs relative
    100 xp
    Graphics and output
    50 xp
    Generating graphics
    50 xp
    Graphics/
    100 xp
    One final work flow
    100 xp
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colaboradores

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Hadrien Lacroix
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Richie Cotton

pré-requisitos

Intermediate R
Colin Gillespie HeadshotColin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

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