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Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance 1st ed. Edition

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Editorial Reviews

Review

“The book is written in an exhaustive, text-book-like manner with theoretical paragraphs accompanied by lots of examples presented from various angles. The book is intended for readers with a fairly good command of R who wish to extend their programming skills towards a functional approach on data handling. ... it is a great addition to a programming library for mathematicians, computer scientists and applied life scientists alike.” (Irina Ioana Mohorianu, zbMATH 1376.68002, 2018)

From the Back Cover

Master functions and discover how to write functional programs in R. In this book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.
In 
Functional Programming in R, you’ll see how we can 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.
You will:
  • Write functions in R including infix operators and replacement functions 
  • Create higher order functions
  • Pass functions to other functions and start using functions as data you can manipulate
  • Use Filer, Map and Reduce functions to express the intent behind code clearly and safely
  • Build new functions from existing functions without necessarily writing any new functions, using point-free programming
  • Create functions that carry data along with them

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Product details

  • Publisher ‏ : ‎ Apress; 1st ed. edition (March 29, 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 119 pages
  • ISBN-10 ‏ : ‎ 148422745X
  • ISBN-13 ‏ : ‎ 978-1484227459
  • Item Weight ‏ : ‎ 1 pounds
  • Dimensions ‏ : ‎ 6.1 x 0.28 x 9.25 inches
  • Customer Reviews:
    2.7 out of 5 stars 5 ratings

About the author

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I am an associate professor in bioinformatics at Aarhus University, Denmark. My background in math and computer science but for the last decade my main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

I write as a hobby, but my books are all focused on topics I teach in my daily work, where I teach several classes on data science, statistics, programming, and computer science. I try to write the kinds of books I would like to use in my own teaching, or the kinds of books I would like to have had when I learned the topics myself.

I do have some ambitions of writing popular science books as well, but I have not had the courage to try my writing skills on that yet. So far, I have stuck to more technical topics where I feel more at home. Still, that can't go on forever, so some day I will dare to write about genetics and human evolution without hiding behind maths.

Customer reviews

2.7 out of 5 stars
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