The book of R a first course in programming and statistics
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. --
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
San Francisco, CA
No Starch Press
2016
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- pt. I. The language. Getting started
- Numerics, arithmetic, assignment, and vectors
- Matrices and arrays
- Non-numeric values
- Lists and data frames
- Special values, classes, and coercion
- Basic plotting
- Reading and writing files
- pt. II. Programming. Calling functions
- Conditions and loops
- Writing functions
- Exceptions, timings, and visibility
- pt. III. Statistics and probability. Elementary statistics
- Basic data visualization
- Probability
- Common probability distributions
- pt. IV. Statistical testing and modeling. Sampling distributions and confidence
- Hypothesis testing
- Analysis of variance
- Simple linear regression
- Multiple linear regression
- Linear model selection and diagnostics
- pt. V. Advanced graphics. Advanced plot customization
- Going further with the grammar of graphics
- Defining colors and plotting in higher dimensions
- Interactive 3D plots
- Appendix A. Installing R and contributed packages
- Appendix B. Working with RStudio