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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive wit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Teetor, Paul, 1954-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Beijing ; Sebastopol, Calif. : O'Reilly, 2011.
Edición:1st ed.
Temas:
R (Computer program language)
Mathematical statistics > Graphic methods > Data processing.
Statistics > Data processing.
Multiple comparisons (Statistics)
Computer science.
Electronic data processing.
Programming languages (Electronic computers)
Computer programs.
Computer software.
Computer graphics.
Electronic Data Processing
Programming Languages
Software
Statistics.
Computer Graphics
Corrélation multiple (Statistique)
R (Langage de programmation)
Statistique > Informatique.
Informatique.
Langages de programmation.
Logiciels.
Infographie.
computer science.
data processing.
software.
computer graphics.
Electronic data processing
Computer software
Computer science
Computer programs
Computer graphics
Mathematical statistics > Graphic methods > Data processing
Statistics > Data processing
Statistik
Datenanalyse
Open Source
R > Programm
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Ch. 1. Getting Started and Getting Help
  • Ch. 2. Some Basics
  • Ch. 3. Navigating the Software
  • Ch. 4. Input and Output
  • Ch. 5. Data Structures
  • Ch. 6. Data Transformations
  • Ch. 7. Strings and Dates
  • Ch. 8. Probability
  • Ch. 9. General Statistics
  • Ch. 10. Graphics
  • Ch. 11. Linear Regression and ANOVA
  • Ch. 12. Useful Tricks
  • Ch. 13. Beyond Basic Numerics and Statistics
  • Ch. 14. Time Series Analysis.

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