Book Image

Modern R Programming Cookbook

By : Jaynal Abedin
Book Image

Modern R Programming Cookbook

By: Jaynal Abedin

Overview of this book

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.
Table of Contents (10 chapters)

Processing data as a chunk

The XDF file allows for processing tasks more easily by applying the operation chunk by chunk. You do not need to import the entire dataset into the memory to do the processing tasks. To speed up the algorithm or any processing task, the chunk by chunk operation is quite helpful. In this recipe, you will see the chunk by chunk operation.

Getting ready

The XDF file you have created in the previous recipe Creating an XDF file from CSV input in this chapter, contains the following nine variables:

  • YEAR
  • DEST

The objective of this recipe is to create a new binary variable binDelay, representing an indicator variable; if the departure delay...