R Programming By Example

Key Features

• Get a firm hold on the fundamentals of R with practical hands-on examples
• Get started with good R programming fundamentals for data science
• Exploit the different libraries of R to build interesting applications in R

Book Description

R is a high-level statistical language and is widely used among statisticians and data miners for developing analytical applications. Often data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. This book will help them you strong fundamentals when working with R by taking you through a series of full representative examples, which will give you a holistic view about R.

R Programming By Example begins with the basic installation and configuration of R environment. As you progress through the exercises, you will become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. The book also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization.

By the end of this book, readers will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.

What you will learn

• Learn techniques to leverage R's features, and work with packages
• Perform a descriptive analysis and work with statistical models using R
• Work efficiently with objects without using loops
• Create diverse visualizations to gain better understanding of the data
• Understand ways to produce good visualizations and create reports for the results
• Read and write data from relational databases and REST APIs, both packaged and unpackaged
• Improve performance by writing better code, by delegating that code to a more efficient programming language, or by making it parallel