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R Programming By Example

R Programming By Example

By : Trejo Navarro, Omar Trejo Navarro
3 (4)
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R Programming By Example

R Programming By Example

3 (4)
By: Trejo Navarro, 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)
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Summary

As we saw throughout the chapter, using the functional reactive programming paradigm to create powerful web applications using Shiny is not necessarily difficult. It only requires good concept understanding and a bit of exploration.

We showed how to provide inputs for users to be able to send reactive values to the backend, that is, the server, and have it respond adequately to such streams of events. We also showed how to add more sophisticated interactions such as the the two graphs with the zoom-in effect.

This is the final chapter for the book, and you saw how to use many of the tools provided by Shiny to create interactive applications. However, we have just scratched the surface of what is possible with Shiny and R in general. I hope you take what you have learned in this book and create amazing applications. Thank you for making it this far! I wish you the best...

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R Programming By Example
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