Introduction to R Programming Language

Cover
Title Page
Copyright
ABOUT THE AUTHOR
TABLE OF CONTENTS
List of Abbreviations
Preface
Chapter 1 Installing R and Rstudio
	1.1 Installing R
	1.2 Installing Rstudio
Chapter 2 Getting Started with R and Rstudio
	2.1 The R Console
	2.2 Rstudio
Chapter 3 Objects and Files
	3.1 Working at R Console
	3.2 R Objects
	3.3 Files and Workspaces
Chapter 4 Vectors and Lists
	4.1 Numeric Vectors
	4.2 Integer Vectors
	4.3 Character Vectors
	4.4 Logical Vectors
	4.5 Complex Vectors
	4.6 Implicit Coercion
	4.7 Explicit Coercion
	4.8 Lists
Chapter 5 Matrices and Dataframes
	5.1 Building Matrices with Matrix() Function
	5.2 cbind() and rbind() Functions
	5.4 data.frame() Function
	5.5 Examining the Structure of Built In R Dataframes
Chapter 6 Factors and Missing Values
	6.1 Factor() Function
	6.2 Table() and prop.table() Functions
	6.3 Cut() Function
	6.4. Split() Function
	6.5 Quantile() Function
	6.6 Missing Values
Chapter 7 Subsetting Objects
	7.1 Subsetting Vectors
	7.2 Subsetting Matrices
	7.3 Subsetting Lists
	7.4 Subsetting Dataframes
	7.5 Sorting Objects
	7.6 Removing Na Values
Chapter 8 Dates and Times
	8.1 Dates
	8.2 Times
	8.3 Lubridate Package
	8.4 Making Dates from Individual Components
Chapter 9 Importing Data
	9.1. Importing Comma Separated Value Files (.csv extension) into R
	9.2 Importing Excel Files (.xlx, .xlsx Extensions) into R
	9.3 Importing Tab Separated Files (.txt Extension) into R
Chapter 10 Basic Data Wrangling With Tidyverse
	10.1 Tidy Datasets
	10.2 The “Tidyverse” Package
	10.3 dplyr Package
	10.4 Tidyr Package
Chapter 11 Data Visualization Using GGPLOT2
	11.1 Introduction
	11.2 Univariate Analysis: Continuous Data
	11.3 Univariate Analysis: Categorical Data
	11.4 Bivariate Analysis: Continuous-Continuous Data
	11.5 Bivariate Analysis: Continuous-Categorical Data
	11.6 Bivariate Analysis: Categorical-Categorical Data
Chapter 12 Functions
	12.1 Functions
	12.2 Control Structures
	12.3 Loop Functions
Bibliography
Index
Back Cover