عنوان

Advanced R statistical programming and data models :

(Number (ISBN

1484228723

(Number (ISBN

9781484228722

Erroneous ISBN

1484228715

Erroneous ISBN

1484228731

Erroneous ISBN

9781484228715

Erroneous ISBN

9781484228739

Title Proper

Advanced R statistical programming and data models :

General Material Designation

[Book]

Other Title Information

analysis, machine learning, and visualization /

First Statement of Responsibility

Matt Wiley, Joshua F. Wiley.

Place of Publication, Distribution, etc.

[Berkeley, CA] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

2019.

Specific Material Designation and Extent of Item

1 online resource (xx, 638 pages) :

Other Physical Details

illustrations (some color)

Text of Note

Includes bibliographical references and index.

Text of Note

Univariate data visualization -- Multivariate data visualization -- GLM 1 -- GLM 2 -- GAMs -- ML: introduction -- ML: unsupervised -- ML: supervised -- Missing data -- GLMMs: introduction -- GLMMs: linear -- GLMMs: advanced -- Modeling IIV.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9781484228722

International Standard Book Number

9781484228715

International Standard Book Number

9781484228739

Mathematical statistics-- Data processing.

R (Computer program language)

Statistics-- Data processing.

Mathematical statistics-- Data processing.

R (Computer program language)

Statistics-- Data processing.

COM051010

UMC

UMX

UMX

Number

Edition

Class number

Wiley, Matt

Wiley, Joshua F.

Date of Transaction

20200823031951.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y