Advanced Object-Oriented Programming in R: Statistical - download pdf or read online

By Thomas Mailund

Learn easy methods to write object-oriented courses in R and the way to build sessions and sophistication hierarchies within the 3 object-oriented platforms to be had in R. This publication supplies an creation to object-oriented programming within the R programming language and indicates you ways to exploit and observe R in an object-oriented demeanour. you are going to then have the ability to use this robust programming type on your personal statistical programming initiatives to put in writing versatile and extendable software.
After examining Advanced Object-Oriented Programming in R, you are going to come away with a pragmatic undertaking so you might reuse on your personal analytics coding endeavors. You’ll then be capable to visualize your facts as gadgets that experience kingdom after which control these items with polymorphic or everyday equipment. Your tasks will enjoy the excessive measure of flexibleness supplied by way of polymorphism, the place the alternative of concrete solution to execute relies on the kind of facts being manipulated. 
What you are going to Learn
  • Define and use periods and familiar features utilizing R 
  • Work with the R category hierarchies
  • Benefit from implementation reuse
  • Handle operator overloading
  • Apply the S4 and R6 classes 

Who This booklet Is For
Experienced programmers and for people with at the least a few past adventure with R programming language.

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Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund

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