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Contents Chapter 1: Getting R 11.1 Downloading R Chapter 2: The R Environment Chapter 3: R Packages Chapter 4: Basics of R Chapter 5: Advanced Data Structures Chapter 6: Reading Data into R Chapter 7: Statistical Graphics Chapter 8: Writing R Functions Chapter 9: Control Statements Chapter 10: Loops, the Un-R Way to Iterate Chapter 11: Group Manipulation Chapter 12: Data Reshaping Chapter 13: Manipulating Strings Chapter 14: Probability Distributions Chapter 15: Basic Statistics Chapter 16: Linear Models Chapter 17: Generalized Linear Models Chapter 18: Model Diagnostics Chapter 19: Regularization and Shrinkage Chapter 20: Nonlinear Models Chapter 21: Time Series and Autocorrelation Chapter 22: Clustering Chapter 23: Reproducibility, Reports and Slide Shows with knitr Chapter 24: Building R Packages Appendix A: Real-Life Resources Appendix B: Glossary Printed Pages: 472. Buchnummer des Verkäufers 91899
Inhaltsangabe: Same Contents as in US edition - ISBN - 9789332539242 - Printed in Asia - Expedited Shipping available -
Titel: R for Everyone: Advanced Analytics and ...
Verlag: Pearson Education
Auflage: First edition.
Buchbeschreibung Addison Wesley, 2013. Taschenbuch. Buchzustand: Gebraucht. Gebraucht - Sehr gut Leichte Lagerspuren - Using the free, open source R language, scientists, financial analysts, public policy professionals, and programmers can build powerful statistical models capable of answering many of their most challenging questions. But, for non-statisticians, R can be difficult to learn-and most books on the subject assume far too much knowledge to help the non-statistician. R for Everyone is the solution. Drawing on his extensive experience teaching new users through the New York City R User Group, professional statistician Jared Lander has written the perfect R tutorial for everyone who's new to statistical programming and modeling. 432 pp. Englisch. Artikel-Nr. INF1000948817