R object-oriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R / Kelly Black.

Format:

Book

Author/Creator:

Black, Kelly, author.

Series:

Community experience distilled.

Community experience distilled

Language:

English

Subjects (All):

Object-oriented programming (Computer science).

R (Computer program language).

Physical Description:

1 online resource (190 p.)

Edition:

1st ed.

Place of Publication:

Birmingham : Packt Publishing, 2014.

Language Note:

English

Biography/History:

Black Kelly: Kelly Black is a faculty member in the Department of Mathematics at Clarkson University. His background is in numerical analysis with a focus on the use of spectral methods and stochastic differential equations. He makes extensive use of R in the analysis of the results of Monte-Carlo simulations. In addition to using R for his research interests, Kelly also uses the R environment for his statistics classes. He has extensive experience sharing his experiences with R in the classroom. The use of R to explore datasets is an important part of the curriculum.

Summary:

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.

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

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

SummaryChapter 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

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

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

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed November 13, 2014).

ISBN:

9781783986699

1783986697

OCLC:

895288517