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:
    title: Metaprogramming in R
    sub title: Advanced Statistical Programming for Data Science, Analysis and Finance
  name:
    name part: Mailund, Thomas.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 103 p. 4 illus. online resource.
  abstract: Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself. You will: Find out about the anatomy of a function in R Look inside a function call Work with R expressions and environments Manipulate expressions in R Use substitutions .
  table of contents: 1. Anatomy of a Function -- 2. Inside a Function-Call -- 3. Expressions and Environments -- 4. Manipulating Expressions -- 5. Working with Substitutions.
  note: by Thomas Mailund.
  subject:
    topic: Computer science
  subject:
    topic: Computer programming
  subject:
    topic: Programming languages (Electronic computers)
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computer Science
  subject:
    topic: Programming Techniques
  subject:
    topic: Programming Languages, Compilers, Interpreters
  subject:
    topic: Probability and Statistics in Computer Science
  classification: QA76.6-76.66
  classification: 005.11
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484228814
  identifier: http://dx.doi.org/10.1007/978-1-4842-2881-4
  record info:
    record creation date: 170601
    record change date: 20170630022758.0
    record identifier: 978-1-4842-2881-4