Borrow it
Coverart for item
The Resource Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)

Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)

Work
Publication
Edition
First edition.
Extent
1 online resource.
Contents
  • Introduction to applied statistics
  • Introduction to R and computational statistics
  • Exploring data with R : essential graphics and visualization
  • Means, correlations, counts : drawing inferences using easy-to-implement statistical tests
  • Power analysis and sample size estimation using R
  • Analysis of variance : fixed effects, random effects, mixed models and repeated measures
  • Simple and multiple linear regression
  • Logistic regression and the generalized linear model
  • Multivariate analysis of variance (MANOVA) and discriminant analysis
  • Principal components analysis
  • Exploratory factor analysis
  • Cluster analysis
  • Nonparametric tests
Isbn
9781119549932
Link
https://eui.idm.oclc.org/login?url=https://onlinelibrary.wiley.com/book/10.1002/9781119549963
Instance
Label
Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science
Title
Univariate, bivariate, and multivariate statistics using R
Title remainder
quantitative tools for data analysis and data science
Statement of responsibility
Daniel J. Denis
Creator
Contributor
Subject
Genre
Language
eng
http://library.link/vocab/creatorDate
1974-
http://library.link/vocab/creatorName
Denis, Daniel J.
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Wiley InterScience (Online service)
Series statement
Wiley eBooks
http://library.link/vocab/subjectName
  • Analysis of variance
  • Multivariate analysis
  • Mathematical statistics
  • R (Computer program language)
Label
Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://onlinelibrary.wiley.com/book/10.1002/9781119549963
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests
Control code
ybp16497787
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781119549932
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1145085252
Label
Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://onlinelibrary.wiley.com/book/10.1002/9781119549963
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests
Control code
ybp16497787
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781119549932
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1145085252

Subject

Genre

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055

Library Links

Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by European University Institute Library. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...