Description
R is a programming language tailor made to work in the field of statistics and data analysis. Since, R is a GNU’s Not Unix (GNU) project, it is an open source and a free software. In 1993, Ross Ihaka and Robert Gentleman announced the first release of R. Since its inception, the popularity of R has increased exponentially with each passing day. Most reports suggest a count of over a million users, and more than 10,000 packages on its official site. Around the globe, R plays a vital role in the work of many researchers and data analysts. R has turned the table for manipulating data and has risen to become a fundamental tool for analytics and finance-driven organisations, such as, Facebook, LinkedIn, and Google. Learning R was conceptualized with a motive to familiarise you with every aspect of R programming. This book covers the following topics:
• Exploring R Language
• Setting up R Environment with Rstudio
• Implementing Expressions: Assignment, Decision Making and Loops
• Essentials Data Structure in R
• Implementing Strings in R
• Performing Statistics with R
• Visualizing and Analysing Data in R
• Object Oriented Programming in R
• Implementing Data Interfaces in R
• Error handling
• Improving the Performance
• Interacting with other Languages
• Executing your own R functions
The chapters provided in this book that cover the above-mentioned topics contain learning objectives, real-time examples that are far from the redundant theoretical form of teaching.
A unique feature of this book is that we have included illustrative problems that give you a better
understanding of R and its workings. Some of them were, extracting real data from a CSV file,
manipulating various data structures, designing a graphical representation according to our choice and requirements. These give you the one fit for many problems that we face while writing a program using R.
