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Advanced object-oriented programming...

Mailund, Thomas.

Advanced object-oriented programming in Rstatistical programming for data science, analysis and finance /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced object-oriented programming in Rby Thomas Mailund.
其他題名:	statistical programming for data science, analysis and finance /
作者:	Mailund, Thomas.
出版者:	Berkeley, CA :Apress :2017.
面頁冊數:	xv, 110 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	R (Computer program language)
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2919-4
ISBN:	9781484229194$q(electronic bk.)

Advanced object-oriented programming in Rstatistical programming for data science, analysis and finance /
Mailund, Thomas.

Advanced object-oriented programming in Rstatistical programming for data science, analysis and finance /[electronic resource] :by Thomas Mailund. - Berkeley, CA :Apress :2017. - xv, 110 p. :ill., digital ;24 cm.

1. Classes and Generic Functions -- 2. Class Hierarchies -- 3. Implementation Reuse -- 4. Statistical Models -- 5. Operator Overloading -- 6. S4 Classes -- 7. R6 Classes -- 8. Conclusions.

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then be able to use this powerful programming style in your own statistical programming projects to write flexible and extendable software. After reading Advanced Object-Oriented Programming in R, you'll come away with a practical project that you can reuse in your own analytics coding endeavors. You'll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. Your projects will benefit from the high degree of flexibility provided by polymorphism, where the choice of concrete method to execute depends on the type of data being manipulated. You will: Define and use classes and generic functions using R Work with the R class hierarchies Benefit from implementation reuse Handle operator overloading Apply the S4 and R6 classes.

ISBN: 9781484229194$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2919-4doiSubjects--Topical Terms:

210846
R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 519.502855133

Advanced object-oriented programming in Rstatistical programming for data science, analysis and finance /
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