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Metaprogramming in R = advanced stat...

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Metaprogramming in R = advanced statistical programming for data science, analysis and finance /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Metaprogramming in R/ by Thomas Mailund.
Reminder of title:	advanced statistical programming for data science, analysis and finance /
Author:	Mailund, Thomas.
Published:	Berkeley, CA :Apress : : 2017.,
Description:	xi, 103 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	R (Computer program language) -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2881-4
ISBN:	9781484228814

Metaprogramming in R = advanced statistical programming for data science, analysis and finance /
Mailund, Thomas.

Metaprogramming in Radvanced statistical programming for data science, analysis and finance /[electronic resource] :by Thomas Mailund. - Berkeley, CA :Apress :2017. - xi, 103 p. :ill., digital ;24 cm.

1. Anatomy of a Function -- 2. Inside a Function-Call -- 3. Expressions and Environments -- 4. Manipulating Expressions -- 5. Working with Substitutions.

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.

ISBN: 9781484228814

Standard No.: 10.1007/978-1-4842-2881-4doiSubjects--Topical Terms:

679069
R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 005.133

Metaprogramming in R = advanced statistical programming for data science, analysis and finance /
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100 1 $a Mailund, Thomas. $3 1140758
245 1 0 $a Metaprogramming in R $h [electronic resource] : $b advanced statistical programming for data science, analysis and finance / $c by Thomas Mailund.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xi, 103 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Anatomy of a Function -- 2. Inside a Function-Call -- 3. Expressions and Environments -- 4. Manipulating Expressions -- 5. Working with Substitutions.
520 $a 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.
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650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
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856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2881-4
950 $a Professional and Applied Computing (Springer-12059)

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