Book Image

R Programming By Example

By : Omar Trejo Navarro
Book Image

R Programming By Example

By: Omar Trejo Navarro

Overview of this book

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.
Table of Contents (12 chapters)

Retrieving text data from Twitter

Before we finish this chapter, we will very briefly touch on a completely different, yet very sought-after topic, that is, getting data from Twitter. In case you want to apply predictive models, you will need to link the Twitter data to a variable you want to predict, which normally comes from other data. However, something you can easily do is measure the sentiment around a topic using the techniques we showed in a previous section.

The twitteR package actually makes it very easy for us to retrieve Twitter data. To do so, we will create a Twitter App within Twitter, which will give us access to the data feed. To accomplish this, we need to generate four strings within your Twitter account that will be the keys to using the API. These keys are used to validate your permissions and monitor your usage in general. Specifically, you need four strings...