| Description |
1 online resource (1 volume) : illustrations |
| Series |
Community experience distilled |
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Community experience distilled.
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| Contents |
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Types; Assignment; The workspace; Discrete data types; Integer; Logical; Character; Factors; Continuous data types; Double; Complex; Special data types; Notes on as and is functions; Summary; Chapter 2: Organizing Data; Basic data structures; Vectors; Lists; Data frames; Tables; Matrices and arrays; Censoring data; Appending rows and columns; Operations on data structures; The apply commands; apply; lapply and sapply; tapply; mapply; Summary |
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Chapter 3: Saving Data and Printing ResultsFile and directory information; Entering data; Entering data from the command line; Reading tables from files; CSV files; Fixed width files; Printing results and saving data; Saving a workspace; The cat command; The print, format, and paste commands; Primitive input/output; Network options; Opening a socket; Basic socket operations; Summary; Chapter 4: Calculating Probabilities and Random Numbers; Overview; Distribution functions; Cumulative distribution functions; Inverse cumulative distribution functions; Generating pseudorandom numbers; Sampling |
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Break and next statementsFunctions; Defining a function; Arguments to functions; Scope; Executing scripts; Summary; Chapter 8: S3 Classes; Defining classes and methods; Defining objects and inheritance; Encapsulation; A final note; Summary; Chapter 9: S4 Classes; Introducing the Ant class; Defining an S4 class; Defining methods for an S4 class; Defining new methods; Polymorphism; Extending the existing methods; Inheritance; Miscellaneous notes; Summary; Chapter 10: Case Study -- Course Grades; Overview; The Course class; The definition of the Course class ; Reading Grades from a file |
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The assignment classesThe NumericGrade class; The LetterGrade class; Example -- reading grades from a file; Defining indexing operations; Redefining existing functions; Redefining arithmetic operations; Summary; Chapter 11: Case Study -- Simulation; The simulation classes; The Monte-Carlo class; Examples; Summary; Appendix: Package Management; Index |
| Summary |
Chapter 5: Character and String Operations; Basic string operations; Six focused tasks; Determine the length of a string; Location of a substring; Extracting or changing a substring; Transform case; Splitting strings; Creating formatted strings; Regular expressions; Summary; Chapter 6: Converting and Defining Time Variables; Introduction and assumptions; Converting strings to time data types; Converting time data types to strings; Operations on time data types; Summary; Chapter 7: Basic Programming; Conditional execution; Loop constructs; for loops; while loops; repeat loops |
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This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems |
| Notes |
Includes index |
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English |
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Online resource; title from cover (Safari, viewed November 13, 2014) |
| Subject |
R (Computer program language)
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Application software -- Development.
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Mathematical statistics -- Data processing.
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COMPUTERS -- Programming -- Open Source.
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COMPUTERS -- Software Development & Engineering -- General.
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COMPUTERS -- Software Development & Engineering -- Tools.
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Application software -- Development
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Mathematical statistics -- Data processing
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R (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781783986699 |
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1783986697 |
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