reklama - zainteresowany?

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

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
ebook
Autor: Paul Gerrard, Radia Johnson
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
stron: 432, Format: ebook
Data wydania: 2015-01-31
Księgarnia: Helion

Cena książki: 159,00 zł

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

Osoby, które kupiÅ‚y tÄ™ książkÄ™, wybieraÅ‚y także »

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

 

Osoby które kupowały "Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment", wybierały także:

  • Windows Media Center. Domowe centrum rozrywki
  • Ruby on Rails. Ćwiczenia
  • DevOps w praktyce. Kurs video. Jenkins, Ansible, Terraform i Docker
  • Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku
  • Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone

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

Spis treści

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

  • 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

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

Code, Publish & WebDesing by CATALIST.com.pl



(c) 2005-2024 CATALIST agencja interaktywna, znaki firmowe należą do wydawnictwa Helion S.A.