Functional Programming in R 4

Name: Functional Programming in R 4
Brand: Springer, Berlin
SKU: 9781484294864
Price: 20541 HUF
Availability: InStock

Advanced Statistical Programming for Data Science, Analysis, and Finance

Szerző: Thomas Mailund

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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Master functions and discover how to write functional programs in R. In this book, updated for R 4,...

Információk a könyvről

Szerző

Thomas Mailund

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2023

oldal

145

EAN

9781484294864

Enbook ID

43123267

Kiadó

Springer, Berlin

Súly

249

Méretek

155 x 235

Teljes leírás

Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.In Functional Programming in R 4, you'll see how to replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds.Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions; that is, building more complex functions by combining simpler functions.What You'll LearnWrite functions in R 4, including infix operators and replacement functions Create higher order functionsPass functions to other functions and start using functions as data you can manipulateUse Filer, Map and Reduce functions to express the intent behind code clearly and safelyBuild new functions from existing functions without necessarily writing any new functions, using point-free programmingCreate functions that carry data along with themWho This Book Is ForThose with at least some experience with programming in R.

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Functional Programming in R 4

Advanced Statistical Programming for Data Science, Analysis, and Finance

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