文件名称:
The.Book.of.R.A.First.Course.in.Programming.and.Statistics.pdf
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文件大小: 10mb
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上传时间: 2017-03-27
详细说明： 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 everythi ng 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 Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R How to access R's thousands of functions, libraries, and data sets How to draw valid and useful conclusions from your data 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 R's functionality. Make The Book of R your doorway into the growing world of data analysis. Table of Contents Part I: The Language Chapter 1: Getting Started Chapter 2: Numerics, Arithmetic, Assignment, and Vectors Chapter 3: Matrices and Arrays Chapter 4: Non-Numeric Values Chapter 5: Lists and Data Frames Chapter 6: Special Values, Classes, and Coercion Chapter 7: Basic Plotting Chapter 8: Reading and Writing Files Part II: Programming Chapter 9: Calling Functions Chapter 10: Conditions and Loops Chapter 11: Writing Functions Chapter 12: Exceptions, Timings, and Visibility Part III: Statistics and Probability Chapter 13: Elementary Statistics Chapter 14: Basic Data Visualization Chapter 15: Probability Chapter 16: Common Probability Distributions Part IV: Statistical Testing and Modeling Chapter 17: Sampling Distributions and Confidence Chapter 18: Hypothesis Testing Chapter 19: Analysis of Variance Chapter 20: Simple Linear Regression Chapter 21: Multiple Linear Regression Chapter 22: Linear Model Selection and Diagnostics Part V: Advanced Graphics Chapter 23: Advanced Plot Customization Chapter 24: Going Further with the Grammar of Graphics Chapter 25: Defining Colors and Plotting in Higher Dimensions Chapter 26: Interactive 3D Plots Appendix A: Installing R and Contributed Packages Appendix B: Working with RStudio ...展开收缩
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