The last section offers a brief summary, and provides you with some next steps in your journey in R.

Repetitively apply actions on vectors in R.

Repetitively apply anonymous functions in R.

Repetitively apply user defined functions in R.

Vectorised comparisons to generate many results in R.

Vectorised comparisons to generate one result in R.

Introduction to Conditional Statements in R.Module 4: Intermediate Data Structures in R We begin with an introduction to your trainer Kunal, and what you can expect from the videos in this Learning Path.

This Learning Path contains videos, PDFs, and labs for 10 courses. Variables, Booleans, operations and integers in R.Having an understanding of mathematical concepts will be beneficialĪt the end of this course you will be able to understand: This learning path introduces the fundamental concepts and knowledge you need to use the programming language R, a mathematical and statistical modelling language used extensively in data analysis and Big Data.īy attending this course you will learn how to write programmes using R to create effective statistical outputs and to visualize data using R’s library.Īimed at all who wish to learn the R programming language.ĭelegates should already be familiar with basic programming concepts such as variables, scope and functionsĮxperience of another scripting language such as Python or Perl would be an advantage Have you ever wondered how you can turn your massive datasets in to useful information for your team, organisation or business? Then R is the language you need to learn.

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