R: Easy R Programming for Beginners, Your Step-By-Step Guide To Learning R Progr (R Programming Series)

If so, “R: Easy R Programming For Beginners- Your Step-By-Step Guide to Learning R Programming” by Felix Alvaro is the book for you! It breaks down the fundamental elements that are essential to make you a confident R programmer.
With more than 2,000,000 global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn in this step-by-step beginner’s guide is how to master the fundamentals of such a gorgeous open-source programming language which includes vectors, data frames and lists.
Because of the continuous growth of the data science industry, the demand for R Programmers is also rising. Today, anyone with the skill to program R is extremely valuable to the market place with average salaries for programmers at $115,000 per year! This book has been written to pass on the skill.
What Separates This Book From The Rest?
Unlike many of the books you will stumble upon on this topic, this book makes it easy for you to learn. The author brings you a unique guide that takes you through a natural sequence of lessons (step-by-step) whilst carefully explaining each concept and staying away from unnecessary technical jargon and defining the terms you must learn. This one-step-at-a-time approach allows anyone from an absolute beginner to a more knowledgeable programmer to easily grasp each lesson at their own pace and become more proficient as they progress through the book.
In addition to that, this guide also contains images, examples and other tools to give you the assurance you are going in the right direction, as well as exercises that will allow you to retain up to 400% more of what you learn by practicing your exciting new skills!

You Will Learn The Following:
The history of R programming and its benefits
How to install R & R Studio and work with code editors
The fundamentals of R syntax
Function & Arguments
R Programming with user packages
Organizing data in Vectors
Working with Data-Frames and Matrices
Creating Lists
Effective coding in R
Controlling Logical Flow
Working with base graphics
Creating Faceted graphics using Lattice
And much more!