rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: art of R programming
    sub title: tour of statistical software design
  name:
    name part: Matloff, Norman S.
    role:
      role term: creator
  name:
    name part: ebrary, Inc
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxiii, 373 pages) : illustrations
  abstract: A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques.
  table of contents: Brief Contents; Contents in Detail; Acknowledgments; Introduction; Why Use R for Your Statistical Work?; Whom Is This Book For?; My Own Background; 1: Getting Started; 1.1 How to Run R; 1.2 A First R Session; 1.3 Introduction to Functions; 1.4 Preview of Some Important R Data Structures; 1.5 Extended Example: Regression Analysis of Exam Grades; 1.6 Startup and Shutdown; 1.7 Getting Help; 2: Vectors; 2.1 Scalars, Vectors, Arrays, and Matrices; 2.2 Declarations; 2.3 Recycling; 2.4 Common Vector Operations; 2.5 Using all() and any(); 2.6 Vectorized Operations; 2.7 NA and NULL Values.
  table of contents: 2.8 Filtering2.9 A Vectorized if-then-else: The ifelse() Function; 2.10 Testing Vector Equality; 2.11 Vector Element Names; 2.12 More on c(); 3: Matrices and Arrays; 3.1 Creating Matrices; 3.2 General Matrix Operations; 3.3 Applying Functions to Matrix Rows and Columns; 3.4 Adding and Deleting Matrix Rows and Columns; 3.5 More on the Vector/Matrix Distinction; 3.6 Avoiding Unintended Dimension Reduction; 3.7 Naming Matrix Rows and Columns; 3.8 Higher-Dimensional Arrays; 4: Lists; 4.1 Creating Lists; 4.2 General List Operations; 4.3 Accessing List Components and Values.
  table of contents: 4.4 Applying Functions to Lists4.5 Recursive Lists; 5: Data Frames; 5.1 Creating Data Frames; 5.2 Other Matrix-Like Operations; 5.3 Merging Data Frames; 5.4 Applying Functions to Data Frames; 6: Factors and Tables; 6.1 Factors and Levels; 6.2 Common Functions Used with Factors; 6.3 Working with Tables; 6.4 Other Factor- and Table-Related Functions; 7: R Programming Structures; 7.1 Control Statements; 7.2 Arithmetic and Boolean Operators and Values; 7.3 Default Values for Arguments; 7.4 Return Values; 7.5 Functions Are Objects; 7.6 Environment and Scope Issues; 7.7 No Pointers in R.
  table of contents: 7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files.
  table of contents: 10.3 Accessing the Internet11: String Manipulation; 11.1 An Overview of String-Manipulation Functions; 11.2 Regular Expressions; 11.3 Use of String Utilities in the edtdbg Debugging Tool; 12: Graphics; 12.1 Creating Graphs; 12.2 Customizing Graphs; 12.3 Saving Graphs to Files; 12.4 Creating Three-Dimensional Plots; 13: Debugging; 13.1 Fundamental Principles of Debugging; 13.2 Why Use a Debugging Tool?; 13.3 Using R Debugging Facilities; 13.4 Moving Up in the World: More Convenient DebuggingTools; 13.5 Ensuring Consistency in Debugging Simulation Code; 13.6 Syntax and Runtime Errors.
  note: Norman Matloff.
  note: Electronic resource.
  subject:
    topic: R (Computer program language)
  subject:
    topic: Statistics
    topic: Data processing
  subject:
    topic: R (Computer program language)
  subject:
    topic: Statistics
    topic: Data processing
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: R (Computer program language)
  subject:
    topic: Statistics
    topic: Data processing
  subject:
    topic: Statistics
    topic: Data processing
  subject:
    topic: R (Computer language)
  subject:
    topic: R
  subject:
    topic: Statistik
  subject:
    topic: Pubbz R
  subject:
    topic: Statistik - databehandling
  subject:
    topic: Matematisk statistik
  classification: QA276.4 .M2925 2011eb
  classification: 519.50285/5133
  related item:
    title info:
      title: Art of R programming
    name:
      name part: Matloff, Norman S.
    origin info:
      publisher: San Francisco : No Starch Press, ©2011
    identifier: (DLC) 2011025598
    identifier: (OCoLC)711045702
  identifier: 9781593274108
  identifier: 1593274106
  identifier: 9781593273842
  identifier: 1593273843
  identifier: 9789785327380
  identifier: 9785327388
  identifier: CL0500000121 Safari Books Online
  identifier: BDF84178-B4BD-41BF-9322-287E1F088EC8 OverDrive, Inc.
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: UMI
    record creation date: 120118
    record change date: 20250816223251.0
    record identifier: in00003720042
    language of cataloging:
      language term: eng