<About>

Features
Reflects the authors' 10+ years of applied R consulting throughout industry and academia
Builds skills one step at a time, in 24 one-hour lessons that take reader from the absolute basics to advanced techniques
Covers importing, manipulating, summarizing, modeling, and plotting data; formalizing analytical code; and building R packages using the latest best practices
Shows how to use today's most popular and up-to-date analysis packages for R
Teaches through practical instructions, realistic examples, hands-on workshops, Q-and-As, quizzes, exercises, tips, and more

<Description>

In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for sharing with others.

This book’s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices.

Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your skills.

Learn How To

Install, configure, and explore the R environment, including RStudio
Use basic R syntax, objects, and packages
Create and manage data structures, including vectors, matrices, and arrays
Understand lists and data frames
Work with dates, times, and factors
Use common R functions, and learn to write your own
Import and export data and connect to databases and spreadsheets
Use the popular tidyr, dplyr and data.table packages
Write more efficient R code with profiling, vectorization, and initialization
Plot data and extend your graphical capabilities with ggplot2 and Lattice graphics
Develop common types of models
Construct high-quality packages, both simple and complex
Write R classes: S3, S4, and Reference Classes
Use R to generate dynamic reports
Build web applications with Shiny

<Sample Content>

Table of Contents
Preface     xii
HOUR 1: The R Community     1
A Concise History of R     1
The R Community     3
R Development     7
Summary     8
Q&A     8
Workshop     9
Activities     9
HOUR 2: The R Environment     11
Integrated Development Environments     11
R Syntax     14
R Objects     16
Using R Packages     23
Internal Help     28
Summary     29
Q&A     30
Workshop     30
Activities     32
HOUR 3: Single-Mode Data Structures     33
The R Data Types     33
Vectors, Matrices, and Arrays     34
Vectors     35
Matrices     49
Arrays     58
Relationship Between Single-Mode Data Objects     60
Summary     62
Q&A     62
Workshop     63
Activities     64
HOUR 4: Multi-Mode Data Structures     67
Multi-Mode Structures     67
Lists     68
Data Frames     86
Exploring Your Data     93
Summary     98
Q&A     98
Workshop     100