Muutke küpsiste eelistusi

E-raamat: R by Example

,
  • Formaat: EPUB+DRM
  • Sari: Use R!
  • Ilmumisaeg: 09-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031760747
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 98,79 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
R by ExampleSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: Use R!
  • Ilmumisaeg: 09-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031760747
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.





The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R.





The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.

Introduction.- Quantitative Data.- Categorical Data.- Exploratory Data Analysis.- Presentation Graphics.- Importing Data.- Basic Inference Models.- Regression.- Analysis of Variance I.- Analysis of Variance II.- Randomization Tests.- Multivariate Data.- Simulation Experiments.- Bayesian Modeling.- Monte Carlo Methods.

Maria Rizzo is professor of statistics at Bowling Green State University. Her recent book publications include Statistical Computing with R, 2e (2019) and Energy Statistics (forthcoming).



Jim Albert is professor of mathematics and statistics at Bowling Green State University. His recent book publications include Analyzing Baseball Data with R, 2e (with Max Marchi and Benjamin S. Baumer, 2018), Visualizing Baseball (2017), and Bayesian Computation with R (Springer 2009).
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97830317607476e.html