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

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

Comparing computation time with data frame and XDF

Computation time is one of the important things to consider while doing big data analytics. The efficiency of the algorithm is assessed by the computation time along with other parameters. The objective of using an XDF file instead of the default R data frame is to achieve high speed computation. In this recipe, you will compare the performance in terms of computation time using the default data frame and the XDF file.

Getting ready

Suppose you have a dataset stored in two different formats. The first one is an CSV file containing nine variables, and the other one is the XDF file containing the same variables. The following are the variable names:

YEAR
QUARTER
MONTH
DAY_OF_MONTH...

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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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