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Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Paul Gerrard

EBOOK
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If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical scientific questions. Some R exposure is helpful, but not compulsory.
  • 1. Programming with R
  • 2. Statistical Methods
  • 3. Linear Models
  • 4. Non Linear Methods
  • 5. Linear Algebra with R
  • 6. Principal Component Factor Analysis andthe Common Factor Model
  • 7. Structural Equation Modelling
  • 8. Simulation and Monte Carlo Modelling
  • 9. Optimization with R
  • 10. Advanced Data Management with R
  • Tytuł:Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
  • Autor:Paul Gerrard
  • Tytuł oryginału:Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
  • ISBN:9781783555260, 9781783555260
  • Data wydania:2015-01-31
  • Format:Ebook - EPUB
  • Identyfikator pozycji: e_3bo0
  • Wydawca: Packt Publishing