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Modern R Programming Cookbook

You're reading from Modern R Programming Cookbook Recipes to simplify your statistical applications

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781787129054

Length 236 pages

Edition 1st Edition

Languages

R

Concepts

Programming Language

Author (1):

Jaynal Abedin

View More author details

Table of Contents (10) Chapters

Preface

1. Installing and Configuring R and its Libraries

2. Data Structures in R FREE CHAPTER

3. Writing Customized Functions

4. Conditional and Iterative Operations

5. R Objects and Classes

6. Querying, Filtering, and Summarizing

7. R for Text Processing

8. R and Databases

9. Parallel Processing in R

Introduction

In the development of a computer program (software design), the process of defining data types of a data structure along with the types of operations using user-defined functions on the data structure is known as object-oriented programming (OOP). In the OOP process, the data structure becomes an object, and the function and the data itself are contained within that object. The R programming has a system of OOP using generic functions. The two most popular classes are used in R to do OOP, namely, S3 and S4. In this chapter, you will learn about both S3 and S4 classes and then create new methods based on those classes.

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Authors (1)

Jaynal Abedin

Jaynal Abedin

Jaynal Abedin is currently doing research as a PhD student at Unit for Biomedical Data Analytics (BDA) of INSIGHT at the National University of Ireland Galway. His research work is focused on the sports science and sports medicine area in a targeted project with ORRECO --an Irish startup company that provides evidence-based advice to individual athletes through biomarker and GPS data. Before joining INSIGHT as a PhD student he was leading a team of statisticians at an international public health research organization (icddr,b). His primary role there was to develop internal statistical capabilities for researchers who come from various disciplines. He was involved in designing and delivering statistical training to the researchers. He has a bachelors and masters degree in statistics, and he has written two books in R programming: Data Manipulation with R and R Graphs Cookbook (Second Edition) with Packt. His current research interests are predictive modeling to predict probable injury of an athlete and scoring extremeness of multivariate data to get an early signal of an anomaly. Moreover, he has an excellent reputation as a freelance R programmer and statistician in an online platform such as upwork.

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