Using R and RStudio for data management, statistical analysis, and graphics /

This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Horton, Nicholas J. (Autor), Kleinman, Ken (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, [2015]
Edición:Second edition.
Colección:Chapman & Hall Book
Temas:
R (Computer program language) > Statistical methods.
Mathematical statistics > Data processing.
R (Langage de programmation) > Méthodes statistiques.
Statistique mathématique > Informatique.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
R (Lenguaje de programación).
Estadística matemática.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Front Cover; Contents; List of Tables; List of Figures; Preface to the second edition; Preface to the first edition; Chapter 1: Data input and output; Chapter 2: Data management; Chapter 3: Statistical and mathematical functions; Chapter 4: Programming and operating system interface; Chapter 5: Common statistical procedures; Chapter 6: Linear regression and ANOVA; Chapter 7: Regression generalizations and modeling; Chapter 8: A graphical compendium; Chapter 9: Graphical options and configuration; Chapter 10: Simulation; Chapter 11: Special topics; Chapter 12: Case studies.
  • Appendix A: Introduction to R and RStudio; Appendix B: The HELP study dataset; Appendix C: References; Back Cover.

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