R for dummies / by Andrie de Vries and Joris Meys.

Format:

Book

Author/Creator:

De Vries, Andrie, author.

Meys, Joris, author.

Series:

--For dummies.

For Dummies

Language:

English

Subjects (All):

R (Computer program language).

Mathematical statistics--Data processing.

Mathematical statistics.

Physical Description:

1 online resource (xii, 418 pages) : illustrations (chiefly color).

Edition:

Second edition.

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2015]

Language Note:

English

Summary:

Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets,

Contents:

Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Changes in the Second Edition; Conventions Used in This Book; What You're Not to Read; Foolish Assumptions; How This Book Is Organized; Part I: Getting Started with R Programming; Part II: Getting Down to Work in R; Part III: Coding in R; Part IV: Making the Data Talk; Part V: Working with Graphics; Part VI: The Part of Tens; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part I Getting Started with R Programming; Chapter 1 Introducing R: The Big Picture; Recognizing the Benefits of Using R

Navigating the Environment Manipulating the content of the environment; Saving your work; Retrieving your work; Chapter 3 The Fundamentals of R; Using the Full Power of Functions; Vectorizing your functions; Putting the argument in a function; Making history; Keeping Your Code Readable; Following naming conventions; Structuring your code; Adding comments; Getting from Base R to More; Finding packages; Installing packages; Loading and unloading packages; Part II Getting Down to Work in R; Chapter 4 Getting Started with Arithmetic; Working with Numbers, Infinity, and Missing Values

Doing basic arithmetic Using mathematical functions; Calculating whole vectors; To infinity and beyond; Organizing Data in Vectors; Discovering the properties of vectors; Creating vectors; Combining vectors; Repeating vectors; Getting Values in and out of Vectors; Understanding indexing in R; Extracting values from a vector; Changing values in a vector; Working with Logical Vectors; Comparing values; Using logical vectors as indices; Combining logical statements; Summarizing logical vectors; Powering Up Your Math; Using arithmetic vector operations; Recycling arguments

Chapter 5 Getting Started with Reading and Writin Using Character Vectors for Text Data; Assigning a value to a character vector; Creating a character vector with more than one element; Extracting a subset of a vector; Naming the values in your vectors; Manipulating Text; String theory: Combining and splitting strings; Sorting text; Finding text inside text; Substituting text; Revving up with regular expressions; Factoring in Factors; Creating a factor; Converting a factor; Looking at levels; Distinguishing data types; Working with ordered factors; Chapter 6 Going on a Date with R

Working with Dates

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed July 7, 2015).

ISBN:

1-119-05585-7

1-119-05583-0

OCLC:

911492329