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)

Extracting text data from an HTML page using the XML library

The XML library is another R library for extracting text data from the HTML web page. In the previous recipes, you saw how to extract text from a web page using readLines() and then using the rvest library. In this recipe, you will go through the functions of the XML library to extract the same data.

Getting ready

Before using the XML library, you have to install it into your computer. To install the XML library, you can use the following code:

    install.packages("XML", dependencies = T)

Once the installation is completed, you are ready to implement this recipe.