Store besparelser
Hurtig levering
Fri fragt over 499,-
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Store besparelser
Fri fragt over 499,-
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Matematisk datateori
  3. Matematik til informatikfag
Advanced R Statistical Programming and Data Models
- Analysis, Machine Learning, and Visualization
Af: Joshua F. Wiley, Matt Wiley
Engelsk
Bogcover for Advanced R Statistical Programming and Data Models af Joshua F. Wiley, Matt Wiley, 9781484228715
Specifikationer
Sprog:
Engelsk
Sider:
638
ISBN-13:
9781484228715
Indbinding:
Paperback
ISBN-10:
1484228715
Kategori:
Udg. Dato:
21 feb 2019
Størrelse i cm:
18,4 x 25,8 x 4,2
Forlag:
Oplagsdato:
21 feb 2019
Forfatter(e):
Genre:

Advanced R Statistical Programming and Data Models

- Analysis, Machine Learning, and Visualization
Af: Joshua F. Wiley, Matt Wiley
Engelsk
Paperback 2019
Format:
Paperback
Bog beskrivelse
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.

Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You''ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics.  This is a must-have guide and reference on using and programming with the R language.  

What You''ll Learn
  • Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processing
  • Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis
  • Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification
  • Address missing data using multiple imputation in R
  • Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability 
Who This Book Is For
 
Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are given proven code to reduce time to result(s).

... Vis mere
Forlags Vejl. pris
757,27 kr
Hos Booktok
572 kr
spar 24%
Læg i kurv nu
Sikker betaling
23 - 25 hverdage
Specifikationer
Sprog:
Engelsk
Sider:
638
ISBN-13:
9781484228715
Indbinding:
Paperback
ISBN-10:
1484228715
Kategori:
Udg. Dato:
21 feb 2019
Størrelse i cm:
18,4 x 25,8 x 4,2
Forlag:
Oplagsdato:
21 feb 2019
Forfatter(e):
Finder produkter...
Kategori sammenhænge