Introduction to R
Course Code: IR
Duration: 1 day
Introduction to R Course Overview
R is an easy-to-learn, multi-purpose programming language that is used for statistics, data analysis and machine learning. This Introduction to R course provides an overview of the R programming language, laying the foundation for further learning. The delegates will learn about the characteristics of R and how it compares with other programming languages. They will also receive instruction regarding the installation and use of R and the popular editor RStudio.
There are two parts to the course. The first part covers background information that every professional R programmer should know, upto and including how to install the interpreter, an editor and run R in script and interactive modes. The second part introduces R's data types and main data structures including Vectors, Matrices, Lists and Data Frames.
Approach:
Course delivery has two modes, the first part is delivered mainly by slides. The second is a hands-on interactive session. Delegates will code along with the instructor on RStudio.
Course Objectives
This course is intended to provide delegates with an understanding of R as it relates to other programming languages, and to equip them with the basic knowledge and skills needed to progress & how to setup the environment, code in the REPL shell, write and execute an R script.
Who will the Course Benefit?
This Introduction to R course is designed as an orientation session. It is meant for people who want to gain some idea of what R is, how it works, and how to set-up and get started.
Course Notes
There is an overlap between the content of this 1 day Introduction to R course and the content on the suggested follow-on R Programming course. You may wish to review the contents of the R Programming course and attend this course instead if it is found to be more suitable to your training needs.
Course Information
Please call us if the scheduled dates are not suitable. We may be able to offer alternative dates. Please call for more details.
Skills Gained
The delegate will learn and acquire skills as follows:
- Describe R and comparing it with other programming languages
- Locate good sources of information pertaining to R
- Describe the process of interpretation: source code to working app
- Describe how to locate and install R and an associated IDE, R-Studio
- Access and use the REPL shell
- Write and execute a simple script
- Nomenclature and Comments
- File IO
Introduction to R Training Course
Course Introduction
- Administration and Course Materials
- Course Structure and Agenda
- Delegate and Trainer Introductions
Session 1: VARIABLES
- About R
- Installing R
- CRAN and R Documentation
- Console
- R Studio
- Popular R Packages/Libraries
- Installing, Loading and updating Packages
- Working Directory
- Scripts
- Saving Work and Exiting R
- Comments and reserved words
- Statements and Statement Grouping
- Resources
- Help
Session 2: R AS A BASIC CALCULATOR
- Arithmetic with R
- Operators
- Assignment
- Arithmetic
- Comparison
- Logical
- R's 'Scalar' types'
Session 3: DATA STRUCTURES
- Atomic Vectors
- What are atomic vectors?
- Creating vectors
- Vector arithmetic
- Calling functions on vectors
- Accessing elements of a vector
- Sub-setting a vector
- Matrices
- Creating matrices
- Subsetting
- Matrix Arithmetic and Inversion
- Lists
- Defining lists
- Creating lists
- Named lists
- Accessing elements
- Data Frames
- Defining data frames
- Creating data frames
- Accessing data
- Course technical content is subject to change without notice.
- Course content is structured as sessions, this does not strictly map to course timings. Concepts, content and practicals often span sessions.
Requirements
Basic computer literacy and computing skills: navigate file systems, edit and save a file. No programming experience is required.
Further Learning
Public Scheduled Events
Classroom & Live Virtual Instructor-Led Training
Duration: 1 day
Price: £525.00 exc. VAT
Please contact us to review your requirements and schedule a date.
Live Virtual Classroom
All the convenience and benefits of the classroom experience without the hassle and costs of travel and accommodation.
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