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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 world'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, you'll find everything you need to begin using R effectively for statistical analysis.
You'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. You'll even learn how to create impressive data visualizations with R'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: The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loopsStatistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in RHow to access R's thousands of functions, libraries, and data setsHow to draw valid and useful conclusions from your dataHow to create publication-quality graphics of your resultsCombining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. Make "The Book of R" your doorway into the growing world of data analysis.
You'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. You'll even learn how to create impressive data visualizations with R'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: The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loopsStatistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in RHow to access R's thousands of functions, libraries, and data setsHow to draw valid and useful conclusions from your dataHow to create publication-quality graphics of your resultsCombining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. Make "The Book of R" your doorway into the growing world of data analysis.
432 pages, Paperback
First published November 25, 2015
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