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Developing R Packages

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Course Report - Developing R Packages

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course provides a comprehensive guide on how to create an R Package from scratch. The course begins by teaching you how to establish the basic structure of your package and add metadata. It emphasizes the importance of documenting your package, as this is crucial for creating high-quality packages that others can use, as well as for your own future reference. The course also covers how to verify the functionality of the components in your package by running tests and building your own package. By the end of the course, you will have the skills necessary to create and share your own R packages.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Writing Functions in R

What You Will Learn

In this course, you will learn the end-to-end process for creating an R package from scratch

You will start off by creating the basic structure for your package, and adding in important details like functions and metadata

Once the basic components of your package are in place, you will learn about how to document your package, and why this is important for creating quality packages that other people - as well as your future self - can use with ease

Course Instructors

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Aimee Gott

Head of Skill Assessment Content at DataCamp

Aimee is the Head of Certification Content at DataCamp. Prior to joining DataCamp she was the Education Practice Lead at Mango Solutions. Aimee is a co-author of SAMS Teach Yourself R in 24 Hours.
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Nic Crane

Data Scientist at Elucidata

Nic Crane is a Data Scientist at Elucidata, and has formerly worked for Mango Solutions and IBM. She is passionate about learning and teaching all things data science.

Course Reviews

Average Rating Based on 3 reviews

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