Press "Enter" to skip to content

Advanced Object-Oriented Programming in R: Statistical by Thomas Mailund

By Thomas Mailund

Learn easy methods to write object-oriented courses in R and the way to build periods and sophistication hierarchies within the 3 object-oriented platforms on hand in R. This ebook supplies an creation to object-oriented programming within the R programming language and exhibits you the way to exploit and follow R in an object-oriented demeanour. you are going to then be capable of use this strong programming variety on your personal statistical programming initiatives to jot down versatile and extendable software.
After examining Advanced Object-Oriented Programming in R, you are going to come away with a realistic venture that you should reuse on your personal analytics coding endeavors. You’ll then be capable of visualize your information as gadgets that experience country after which control these gadgets with polymorphic or common equipment. Your tasks will enjoy the excessive measure of flexibleness supplied by way of polymorphism, the place the alternative of concrete way to execute will depend on the kind of info being manipulated. 
What you will Learn
  • Define and use sessions and universal services utilizing R 
  • Work with the R classification hierarchies
  • Benefit from implementation reuse
  • Handle operator overloading
  • Apply the S4 and R6 classes 

Who This ebook Is For
Experienced programmers and for people with at the least a few previous event with R programming language.

Show description

Read or Download Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance PDF

Best object oriented design books

Conservation of Leather and Related Materials (Conservation and Museology)

The conservation of pores and skin, leather-based and similar fabrics is a space that, earlier, has had little illustration by means of the written note in ebook shape. Marion Kite and Roy Thomson, of the leather-based Conservation Centre, have ready a textual content that's either authoritative and finished, together with contributions from the top experts of their fields, resembling Betty Haines, Mary Lou Florian, Ester Cameron and Jim Spriggs.

Object–Oriented Programming with Swift 2

Become familiar with object-oriented programming in quick to successfully construct strong real-world applicationsAbout This BookLeverage the best object-oriented layout styles on your speedy applicationsWrite strong, more secure, and higher code utilizing the blueprints that generate objectsBuild a platform with object-oriented code by utilizing real-world components and symbolize them on your appWho This publication Is ForIf you're an iOS developer who has a simple proposal of object-oriented programming and need to include its techniques with quick to optimize your application's code and create reusable and simply to appreciate construction blocks, then this booklet is for you.

Deep Learning with Python: A Hands-on Introduction

Become aware of the sensible points of enforcing deep-learning options utilizing the wealthy Python surroundings. This e-book bridges the distance among the tutorial state of the art and the state-of-the-practice through introducing you to deep studying frameworks reminiscent of Keras, Theano, and Caffe. The practicalities of those frameworks is usually bought by means of practitioners by way of examining resource code, manuals, and posting questions about neighborhood boards, which has a tendency to be a sluggish and a painful technique.

C# 7 and .NET Core 2.0: Modern Cross-Platform Development - Third Edition

Key FeaturesBuild sleek, cross-platform functions with . internet middle 2. 0Get up to the mark with C#, and recent with all of the newest beneficial properties of C# 7Start developing expert net purposes with ASP. internet center 2. 0Book DescriptionC# 7 and . web middle 2. zero: smooth Cross-Platform improvement is a pragmatic advisor to making robust cross-platform functions with C# 7 and .

Additional info for Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Example text

Download PDF sample

Rated 4.41 of 5 – based on 13 votes