The Book of R, 2nd Edition
The Book of R, 2nd Edition
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分類：英文書＞自然科普＞電腦資訊＞程式語言追蹤? 追蹤分類後，您會在第一時間收到分類新品通知。
- 作者： Tilman M,Davies 追蹤 ? 追蹤作者後，您會在第一時間收到作者新書通知。
- 出版社： No Starch Press 追蹤 ? 追蹤出版社後，您會在第一時間收到出版社新書通知。
- 出版日：2025/11/13
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內容簡介
This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis. 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 writing programs in R. 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 tests and modeling. You'll even learn how to create impressive data visualizations with R's graphics tools and contributed packages, like ggplot2, ggvis, and rgl. Dozens of hands-on exercises 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 datasetsHow to draw valid and useful conclusions from your data and create publication-quality graphics of your results
The Book of R brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis. New to this edition: The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You'll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.
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 datasetsHow to draw valid and useful conclusions from your data and create publication-quality graphics of your results
The Book of R brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis. New to this edition: The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You'll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.
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