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R Programming for Data Analysis - Beginner

Length 1 day

Course overview

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Why study this course

R is a programming language specifically developed for the statistical analysis of data and for producing graphical output. The functionality of the base R package is greatly extended by user-contributed packages which contain a range of functions. There is often more than one way to achieve an outcome in R.

This introductory R course, is the first in our series of R courses and provides an overview of the basics and introduces some of the functions and packages that can be used to work with data. The aim of this course is to provide a foundational:

understanding of R
R syntax
data types and objects

We recommend completing this Beginner course and the Intermediate course together where possible. You will learn how to apply a variety of techniques on the Intermediate course. Learn the key concepts required to get you started using R scripts.

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What you’ll learn

After completing this course, students will be able to:

Use functions
Create basic data visualisations
Use R data types and objects
Write basic syntax
Create and manipulate objects

R Programming at Lumify Work

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

View all R Programming at Lumify Work courses

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

No specific pre-requisites for this course
We recommend completing the this Beginner course together with R Programming for Data Analysis - Intermediate

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.