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Modern R Programming Cookbook

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

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787129054
Length 236 pages
Edition 1st Edition
Languages
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Author (1):
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Jaynal Abedin Jaynal Abedin
Author Profile Icon Jaynal Abedin
Jaynal Abedin
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Toc

Table of Contents (10) Chapters Close

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

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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