Part of data science course bundle

### R Programming for Beginners

A comprehensive book to getting started with R Programming.

Part of data science course bundle

A comprehensive book to getting started with R Programming.

If you are here, it surely means you've already heard about R. So, let's just get to the point and describe what our book has to offer.

The goal of “R Programming For Beginners” is to help you get comfortable with R programming and jump start your career in the field of data.

Rather than teaching R to someone familiar with programming before, this book will start from the very basics.

When you're done with the book, you’ll have gained a strong footing on the concepts and building blocks of R.

To give you an overview, you'll:

- Install R and its required tools; more specifically, the IDE: R Studio.
- Write your very first program in R and dissect every portion that makes up an R program.
- Perform various logical and mathematical operations
- Store and represent data in several data structures present in R, like vectors, lists, matrix, data frames and factors.
- Change the behavior and flow of R program using control structures like if else, loops, break and next.
- Learn about the most fundamental tool in R, function and integrate it to perform different tasks in our programs.
- Dive into the Object Oriented (OO) world of programming, and use OO features in an R program.
- Visualize, modify and describe your data better in the form of Charts and Graphs.

Enough said, if you want to learn R, this is a must have book in your arsenal.

CHAPTER 1
### Welcome

- Introduction
- Run R on Your Computer
- Your first R Program

CHAPTER 2
### Basics

- Variables and Constants
- Output
- Operators
- Comments
- Packages & Environment

CHAPTER 3
### Data Structures

- Objects
- Vectors & Factors
- Lists
- Matrix
- Data Frame

CHAPTER 4
### Control Structures

- if...else
- ifelse() function
- for & while Loop
- repeat Loop
- break & next

CHAPTER 5
### Functions

- Function & return value
- Function Environment & Scope
- Recursive Function
- Infix Operator
- Switch Function

CHAPTER 6
### Object Oriented Programming

- Object & Class
- S3 Class
- S4 Class
- Reference Class
- Inheritance

CHAPTER 7
### Graphs & Charts

- Bar Plot
- Histogram
- Pie Chart
- Box Plot
- Strip Chart

CHAPTER 7
### Advanced Plotting Operations

- Coloring Plot
- Saving Plot
- Plot Function
- Multiple Plots
- 3D Plot

Get started in Data Science With R.