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)

R and Databases

The smaller datasets can be stored in a flat file like the conventional CSV file. However, whenever we encounter larger datasets and there are multiple datasets with an inherent relationship between them, it is good to store those types of data in database management software. Using R, you can easily interact with larger datasets through a connection between R session and the database management software. In this chapter, the following recipes will walk you through the process of interacting with database management software from within R:

  • Installing the PostgreSQL database server
  • Creating a new user in the PostgreSQL database server
  • Creating a table in a database in PostgreSQL
  • Creating a dataset in PostgreSQL from R
  • Interacting with the PostgreSQL database from R
  • Creating and interacting with the SQLite database from R