R in action : data analysis and graphics with R

R in action data analysis and graphics with R

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. Yo...

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Detalles Bibliográficos
Otros Autores: Kabacoff, Robert, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning Publications [2015]
Edición:Second edition
Materias:
R (Computer program language)
Statistics > Data processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629619406719
Tabla de Contenidos:
  • Intro
  • Copyright
  • Brief Table of Contents
  • Table of Contents
  • Praise for the First Edition
  • Preface
  • Acknowledgments
  • About this Book
  • About the Cover Illustration
  • Part 1. Getting started
  • Chapter 1. Introduction to R
  • Chapter 2. Creating a dataset
  • Chapter 3. Getting started with graphs
  • Chapter 4. Basic data management
  • Chapter 5. Advanced data management
  • Part 2. Basic methods
  • Chapter 6. Basic graphs
  • Chapter 7. Basic statistics
  • Part 3. Intermediate methods
  • Chapter 8. Regression
  • Chapter 9. Analysis of variance
  • Chapter 10. Power analysis
  • Chapter 11. Intermediate graphs
  • Chapter 12. Resampling statistics and bootstrapping
  • Part 4. Advanced methods
  • Chapter 13. Generalized linear models
  • Chapter 14. Principal components and factor analysis
  • Chapter 15. Time series
  • Chapter 16. Cluster analysis
  • Chapter 17. Classification
  • Chapter 18. Advanced methods for missing data
  • Part 5. Expanding your skills
  • Chapter 19. Advanced graphics with ggplot2
  • Chapter 20. Advanced programming
  • Chapter 21. Creating a package
  • Chapter 22. Creating dynamic reports
  • Afterword Into the rabbit hole
  • Appendix A. Graphical user interfaces
  • Appendix B. Customizing the startup environment
  • Appendix C. Exporting data from R
  • Appendix D. Matrix algebra in R
  • Appendix E. Packages used in this book
  • Appendix F. Working with large datasets
  • Appendix G. Updating an R installation
  • References
  • Bonus Chapter 23. Advanced graphics with the lattice package
  • Index
  • List of Figures
  • List of Tables
  • List of Listings.

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