R Beginner

Length 1 day

Course overview

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Why study this course

R is an open source and free programming language that was developed for statistical analysis and graphical data representation. It is commonly used by statisticians and academics internationally, as it is relatively easy to get up and running once you know the basics, even without a background in programming. The active user community behind R has contributed over 15,000 packages that extend the base functionality of R, making it easy to implement a vast range of techniques for data manipulation, analysis, and visualisation.

This introductory R course provides a strong foundation in R fundamentals, covering essential concepts such as R syntax, data types, objects, and the use of functions and packages. You’ll gain a practical understanding of how to work with data in R and begin building your own scripts for analysis.

We recommend completing this Beginner course and the Intermediate course together for the best learning experience.

Nexacu Public Schedule

Nexacu is part of the Lumify Group, offering you the largest public schedule of end user applications and professional development training in Australia, New Zealand, and the Philippines. You can now access the schedule of courses and book, by clicking on the button below.

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What you’ll learn

After completing this course, students will be able to:

Understand the basics of R, including its structure and purpose
Use R data types and objects
Write and apply basic R syntax
Create and manipulate objects in R
Use functions effectively
Create basic data visualisations using R packages

R Programming at Lumify Work

Learn R programming to analyse, manipulate, and visualise data more effectively.

Nexacu, part of the Lumify Group, delivers our R Programming data analysis training courses.

View all R Programming at Lumify Work courses

Who is the course for?

This course will suit anyone interested in making data-driven decisions, even if they do not have a background in programming. From customer segmentation to demand forecasting, R can be used to improve operations by uncovering patterns within data, using a range of statistical methods.

Course subjects

Introduction

Introduction to R
Base R and contributed packages
Download and installation of base R
Installing R packages

The RStudio IDE

Download and installation
Overview of the RStudio environment
The main panes
Working directory
Workspace
Projects
Create a project

Using R as a Calculator

Executing commands from the command line and the source pane
Arithmetic operators
Relational operators
Logical operators

Creating Objects

Objects in R
Assignment operators
Naming rules
Basics of R syntax
Creating objects
Viewing objects in RStudio
Viewing objects in the console

Data Types and Classes

Basic data types
Data structures in R
Vectors
Factors
Matrices
Arrays
Lists
Data frames
Tibbles
Which data structure should I use?

Changing data types

Implicit coercion
Explicit coercion

Naming parts of data objects

Column names
Row names
Dimension names
Names

Accessing Data within Data Structures

Referring to data by position
Referring to data by name

Replace parts of an object

Replace names
Replace values

Add to a data object

Add elements to vectors
Add rows or columns
Add by position
Add by name

Removing data from a data object

Remove elements from vectors
Remove rows or columns from matrices
Remove rows or columns from data frames and lists

Evaluation in R

Vector arithmetic
Order of operations
Vector recycling
Vectorised operations
Applying functions to elements of data structures

Using Functions

What is a function?
Syntax for using functions in R
Arguments
Getting help with a function
Overview of help documentation in R
Basic statistical summary functions
Masking of functions
Explicitly specifying the package name when calling a function
Package: conflicted

Importing Data

Importing data in RStudio
Importing data from text files (csv)

Exporting Data

Export data to text file

Basic Data Visualisation

The plot function
Add reference lines
Add text
Add a legend
Exporting plot

Prerequisites

There are no specific pre-requisites.

We recommend completing this Beginner course together with R Intermediate for the best learning experience.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.