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 loops S
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If you are not yet a Turnaround customer, and would like to sell our books, please do contact [email protected] or call 020 8829 3000 and we will be delighted to help you.
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 loops S
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