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Record Nr. |
UNINA9910254854903321 |
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Autore |
Mailund Thomas |
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Titolo |
Metaprogramming in R : advanced statistical programming for data science, analysis and finance / / by Thomas Mailund |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XI, 103 p. 4 illus.) |
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Disciplina |
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Soggetti |
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Computer programming |
Programming languages (Electronic computers) |
Mathematical statistics |
R (Computer program language) |
Programming Techniques |
Programming Languages, Compilers, Interpreters |
Probability and Statistics in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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1. Anatomy of a Function -- 2. Inside a Function-Call -- 3. Expressions and Environments -- 4. Manipulating Expressions -- 5. Working with Substitutions. |
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Sommario/riassunto |
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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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