Book description
This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.
Table of contents
- Front Cover
- Contents (1/3)
- Contents (2/3)
- Contents (3/3)
- List of Tables
- List of Figures
- Preface to the second edition
- Preface to the rst edition
- Chapter 1: Data input and output (1/2)
- Chapter 1: Data input and output (2/2)
- Chapter 2: Data management (1/5)
- Chapter 2: Data management (2/5)
- Chapter 2: Data management (3/5)
- Chapter 2: Data management (4/5)
- Chapter 2: Data management (5/5)
- Chapter 3: Statistical and mathematical functions (1/3)
- Chapter 3: Statistical and mathematical functions (2/3)
- Chapter 3: Statistical and mathematical functions (3/3)
- Chapter 4: Programming and operating system interface (1/2)
- Chapter 4: Programming and operating system interface (2/2)
- Chapter 5: Common statistical procedures (1/4)
- Chapter 5: Common statistical procedures (2/4)
- Chapter 5: Common statistical procedures (3/4)
- Chapter 5: Common statistical procedures (4/4)
- Chapter 6: Linear regression and ANOVA (1/5)
- Chapter 6: Linear regression and ANOVA (2/5)
- Chapter 6: Linear regression and ANOVA (3/5)
- Chapter 6: Linear regression and ANOVA (4/5)
- Chapter 6: Linear regression and ANOVA (5/5)
- Chapter 7: Regression generalizations and modeling (1/7)
- Chapter 7: Regression generalizations and modeling (2/7)
- Chapter 7: Regression generalizations and modeling (3/7)
- Chapter 7: Regression generalizations and modeling (4/7)
- Chapter 7: Regression generalizations and modeling (5/7)
- Chapter 7: Regression generalizations and modeling (6/7)
- Chapter 7: Regression generalizations and modeling (7/7)
- Chapter 8: A graphical compendium (1/5)
- Chapter 8: A graphical compendium (2/5)
- Chapter 8: A graphical compendium (3/5)
- Chapter 8: A graphical compendium (4/5)
- Chapter 8: A graphical compendium (5/5)
- Chapter 9: Graphical options and con guration (1/2)
- Chapter 9: Graphical options and con guration (2/2)
- Chapter 10: Simulation (1/3)
- Chapter 10: Simulation (2/3)
- Chapter 10: Simulation (3/3)
- Chapter 11: Special topics (1/4)
- Chapter 11: Special topics (2/4)
- Chapter 11: Special topics (3/4)
- Chapter 11: Special topics (4/4)
- Chapter 12: Case studies (1/5)
- Chapter 12: Case studies (2/5)
- Chapter 12: Case studies (3/5)
- Chapter 12: Case studies (4/5)
- Chapter 12: Case studies (5/5)
- Appendix A: Introduction to R and RStudio (1/6)
- Appendix A: Introduction to R and RStudio (2/6)
- Appendix A: Introduction to R and RStudio (3/6)
- Appendix A: Introduction to R and RStudio (4/6)
- Appendix A: Introduction to R and RStudio (5/6)
- Appendix A: Introduction to R and RStudio (6/6)
- Appendix B: The HELP study dataset (1/2)
- Appendix B: The HELP study dataset (2/2)
- Appendix C: References (1/3)
- Appendix C: References (2/3)
- Appendix C: References (3/3)
- Back Cover
Product information
- Title: Using R and RStudio for Data Management, Statistical Analysis, and Graphics, 2nd Edition
- Author(s):
- Release date: March 2015
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781482237375
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