Just Enough R
Learn Data Analysis with R in a Day
by Sivakumaran Raman
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However, if you have looked at a standard text on R or read some of the online discussions, you might feel that there is a steep learning curve of six months or more to grok the language. I will debunk this myth through my book by focusing on practical essentials instead of theory.
If you have programmed in some language in the past (whether that language be SAS, SPSS, C, C++, C#, Java, Python, Perl, Visual Basic, Ruby, Scala, shell scripts, or plain old SQL), even if you are rusty, this book will get you up and running with R in a single day, writing programs for data analysis and visualization. 
Book Description
If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer.However, if you have looked at a standard text on R or read some of the online discussions, you might feel that there is a steep learning curve of six months or more to grok the language. I will debunk this myth through my book by focusing on practical essentials instead of theory.
If you have programmed in some language in the past (whether that language be SAS, SPSS, C, C++, C#, Java, Python, Perl, Visual Basic, Ruby, Scala, shell scripts, or plain old SQL), even if you are rusty, this book will get you up and running with R in a single day, writing programs for data analysis and visualization.
This open book is licensed under a Creative Commons License (CC BY-SA). You can download Just Enough R ebook for free in PDF format (5.5 MB).
Table of Contents
Chapter 1
Introduction
Chapter 2
R syntax
Chapter 3
Variables and Scope
Chapter 4
Data Structures
Chapter 5
Functions
Chapter 6
Objects
Chapter 7
R packages
Chapter 8
Interactive R through the REPL interface
Chapter 9
Inbuilt help in R
Chapter 10
R programs and scripts
Chapter 11
Reading in Data
Chapter 13
Data Quality Checks in R
Chapter 14
Descriptive Statistics and Visualization
Chapter 15
Interactive Charts and Plots
Chapter 16
Geographical Maps and Charts
Chapter 17
Regression Modeling & Predictive Models
Chapter 18
Machine Learning & Predictive Models
Book Details
Title
Just Enough R
Subject
Computer Science
Publisher
Self-publishing
Published
2017
Pages
172
Edition
1
Language
English
PDF Size
5.5 MB
License
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