Advanced Statistical Programming for Data Science, Analysis and Finance

(Kindle Edition)

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✅ Lowest price available on AmazonMaster functions and discover how to write functional programs in R. In this concise 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.

- 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

Those with at least some experience with programming in R.

Author | Thomas Mailund |

Binding | Kindle Edition |

Edition | 1st ed. |

EISBN | 9781484227466 |

Format | Kindle eBook |

Language | English |

Language Type | Published |

Number Of Pages | 150 |

Product Group | eBooks |

Publication Date | 2017-03-27 |

Publisher | Apress |

Release Date | 2017-03-27 |

Studio | Apress |

Sales Rank | 454885 |

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- The author associated with Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is Thomas Mailund.
- The edition for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is 1st ed..
- The EISBN for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is 9781484227466. Electronic ISBN number for digital books.
- The format for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is Kindle eBook.
- The language for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is English.
- The binding of Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is Kindle Edition.
- The number of pages for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance are 150.
- Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is grouped in eBooks group of products.
- The publication date for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is 2017-03-27.
- The publisher for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is Apress.
- The release date for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is 2017-03-27.
- The producer for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is Apress.
- The sales rank for Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance is 454885.