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The Resource Advanced R statistical programming and data models : analysis, machine learning, and visualization, Matt Wiley, Joshua F. Wiley

Advanced R statistical programming and data models : analysis, machine learning, and visualization, Matt Wiley, Joshua F. Wiley

Label
Advanced R statistical programming and data models : analysis, machine learning, and visualization
Title
Advanced R statistical programming and data models
Title remainder
analysis, machine learning, and visualization
Statement of responsibility
Matt Wiley, Joshua F. Wiley
Creator
Contributor
Author
Subject
Language
eng
Summary
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. You will: 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
Cataloging source
YDX
http://library.link/vocab/creatorName
Wiley, Matt
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Wiley, Joshua F.
http://library.link/vocab/subjectName
  • R (Computer program language)
  • Statistics
  • Mathematical statistics
Label
Advanced R statistical programming and data models : analysis, machine learning, and visualization, Matt Wiley, Joshua F. Wiley
Instantiates
Publication
Distribution
Copyright
Bibliography note
Includes bibliographical references (pages 613-624) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
26 cm
Extent
xx, 638 pages
Isbn
9781484228715
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations (some color)
Label
Advanced R statistical programming and data models : analysis, machine learning, and visualization, Matt Wiley, Joshua F. Wiley
Publication
Distribution
Copyright
Bibliography note
Includes bibliographical references (pages 613-624) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
26 cm
Extent
xx, 638 pages
Isbn
9781484228715
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations (some color)

Library Locations

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      41.709086 -88.202027
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