Defensive R Programming

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

R scripts are easy to write. Good R code is not easy. This course will cover defensive programming. It is a set of standard techniques that can be used in order to reduce bugs and improve team work. We will talk about how to avoid common mistakes and how to deal with those that do occur. The course will conclude with a discussion about when to move from script to package and project.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

In this first chapter, you'll learn what defensive programming is, and how to use existing packages for increased efficiency

Learn defensive programming in R to make your code more robust

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

Course Content

Expand all sections

Module 1: Avoiding Conflict

Module 2: Early warning systems

Module 3: Preparing your defenses

Module 4: Creating a Battle Plan

Course Instructors

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 ...