The Book of R: A First Course in Programming and Statistics

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The Book of R: A First Course in Programming and Statistics

The Book of R is a comprehensive, beginner-friendly guide to R, the worldâ€™s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, youâ€™ll find everything you need to begin using R effectively for statistical analysis.

Youâ€™ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. Youâ€™ll even learn how to create impressive data visualizations with Râ€™s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
â€“The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
â€“Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
â€“How to access Râ€™s thousands of functions, libraries, and data sets
â€“How to draw valid and useful conclusions from your data
â€“How to create publication-quality graphics of your results

Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of Râ€™s functionality. Make The Book of R your doorway into the growing world of data analysis.

Country	USA
Author	Tilman M. Davies
Binding	Kindle Edition
Edition	1
EISBN	9781593277796
Format	Kindle eBook
Label	No Starch Press
Manufacturer	No Starch Press
NumberOfPages	832
PublicationDate	2016-07-16
Publisher	No Starch Press
ReleaseDate	2016-07-16
Studio	No Starch Press

The Book of R: A First Course in Programming and Statistics

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