Table of Contents:
“...Cover -- Title Page -- Copyright -- Contents -- Foreword -- About the Companion Website -- Chapter 1
Data Cleaning -- 1.1 The Statistical Value Chain -- 1.1.1 Raw
Data -- 1.1.2 Input
Data -- 1.1.3 Valid
Data -- 1.1.4 Statistics -- 1.1.5 Output -- 1.2 Notation and Conventions Used in this Book -- Chapter 2 A Brief Introduction to R -- 2.1 R on the Command Line -- 2.1.1 Getting Help and Learning R -- 2.2 Vectors -- 2.2.1
Computing with Vectors -- 2.2.2 Arrays and Matrices -- 2.3
Data Frames -- 2.3.1 The Formula‐
Data Interface -- 2.3.2 Selecting Rows and Columns -- Boolean Operators -- 2.3.3 Selection with Indices -- 2.3.4
Data Frame Manipulation: The dplyr Package -- 2.4 Special Values -- 2.4.1
Missing Values -- 2.5 Getting
Data into and out of R -- 2.5.1 File Paths in R -- 2.5.2 Formats Provided by Packages -- 2.5.3 Reading
Data from a Database -- 2.5.4 Working with
Data External to R -- 2.6 Functions -- 2.6.1 Using Functions -- 2.6.2 Writing Functions -- 2.7 Packages Used in this Book -- Chapter 3 Technical Representation of
Data -- 3.1 Numeric
Data -- 3.1.1 Integers -- 3.1.2 Integers in R -- 3.1.3 Real Numbers -- 3.1.4 Double Precision Numbers -- 3.1.5 The Concept of Machine Precision -- 3.1.6 Consequences of Working with Floating Point Numbers -- 3.1.7 Dealing with the Consequences -- 3.1.8 Numeric
Data in R -- 3.2 Text
Data -- 3.2.1 Terminology and Encodings -- 3.2.2 Unicode -- 3.2.3 Some Popular Encodings -- 3.2.4 Textual
Data in R: Objects of Class Character -- 3.2.5 Encoding in R -- 3.2.6 Reading and Writing of
Data with Non‐Local Encoding -- 3.2.7 Detecting Encoding -- 3.2.8 Collation and Sorting -- 3.3 Times and Dates -- 3.3.1 AIT, UTC, and POSIX Seconds Since the Epcoch -- 3.3.2 Time and Date Notation -- 3.3.3 Time and Date Storage in R -- 3.3.4 Time and Date Conversion in R -- 3.3.5 Leap Days, Time Zones, and Daylight Saving Times....
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