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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

Concepts

Programming Language

Author (1):

Jaynal Abedin

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Table of Contents (10) Chapters

Preface

1. Installing and Configuring R and its Libraries FREE CHAPTER

2. Data Structures in R

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

Creating an XDF file from CSV input

An XDF file is a data file format in R used to store, process, and analyze a larger dataset. This file uses persistent memory, that is, hard disk storage, instead of RAM. The XDF file allows you to process datasets by chunks and takes less time than the typical R data frame. In this recipe, you will create a new XDF file from a CSV input file. The XDF file is not a primary choice for parallel processing, but it offers better control over your data through persisted storage and further processing.

Getting ready

To implement this recipe, you are required to install the RevoScaleR library.

The datasets (the CSV input files) used in this recipe are downloaded from the website of the Bureau of...

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Authors (1)

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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