Advanced R Statistical Programming and Data Models: Analysis Machine Learning and Visualization (Record no. 221951)

MARC details
000 -LEADER
fixed length control field 02681nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220318152209.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220318b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484275979
040 ## - CATALOGING SOURCE
Transcribing agency AL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 519.5028
Item number WILA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Matt Wiley and others
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 24209
245 ## - TITLE STATEMENT
Title Advanced R Statistical Programming and Data Models: Analysis Machine Learning and Visualization
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. USA
Name of publisher, distributor, etc. APress
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xx,638 p.
Other physical details PB
Dimensions 25.5x17.5 cm.
365 ## - TRADE PRICE
Price type code 6321
Price amount ₹1999.20
Currency code
Unit of pricing ₹2499.00
Price note 20%
Price effective from 08-03-2022
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/>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.<br/> What You’ll Learn<br/>Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processing<br/>Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis<br/>Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification<br/>Address missing data using multiple imputation in R<br/>Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability <br/>Who This Book Is For<br/> <br/>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).<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
9 (RLIN) 24210
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics -- Data processing
9 (RLIN) 24211
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronic books
9 (RLIN) 24212
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name WILEY (Matt)
9 (RLIN) 24213
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name WILEY (Joshua F)
9 (RLIN) 24214
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Statistics St Aloysius Library St Aloysius Library 03/10/2022 Biblios Book Point 1999.20 2 519.5028 WILA 075625 07/09/2025 06/16/2025 2499.00 03/18/2022 Book