Learning Resource and Development

Research methods using R : (Record no. 31399)

MARC details
000 -LEADER
fixed length control field 04821cam a2200517 i 4500
001 - CONTROL NUMBER
control field 22289359
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260214101912.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211028t20222022enka b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2021949628
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC217614
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020480740
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780192896599
035 ## - SYSTEM CONTROL NUMBER
System control number 22289359
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1289734683
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
Transcribing agency YDX
Modifying agency UKUOY
-- OCLCO
-- UKMGB
-- OCLCF
-- OCLCO
-- NRC
-- DLC
-- CSPC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number H62.A5
Item number .B35 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 300.285555
Item number B171r
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Baker, Daniel H.,
Relator term author.
245 10 - TITLE STATEMENT
Title Research methods using R :
Remainder of title advanced data analysis in the behavioural and biological sciences /
Statement of responsibility, etc. Daniel H. Baker.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Oxford, United Kingdom :
Name of producer, publisher, distributor, manufacturer Oxford University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 338 pges :
Other physical details illustrations (some color) ;
Dimensions 25 cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Introduction to the R environment -- Cleaning and preparing data for analysis -- Statistical tests as linear models P-- Power analysis -- Meta-analysis -- Mixed-effects models -- Stochastic methods -- Non-linear curve fitting -- Fourier analysis -- Multivariate t-tests -- Structural equation modeling -- Multidimensional scaling and k-means clustering -- Multivariate pattern analysis -- Correcting for multiple comparison -- Signal detection theory -- Bayesian statistics -- Plotting graphs and data visualization -- Reproducible data analysis.
520 ## - SUMMARY, ETC.
Summary, etc. "Providing complete coverage of advanced research methods for undergraduates, Daniel H. Baker supports students in their mastery of more advanced research methods and their application in R. This brand new title brings together coverage of a variety of topics for readers with basic statistical knowledge. It begins with material on the fundamental tools - nonlinear curve fitting and function optimization, stochastic methods, and Fourier (frequency) analysis - before leading readers on to more specialist content - bivariate and multivariate statistics, Bayesian statistics, and machine learning methods. Several chapters also discuss methods that can be used to improve research practises, including power analysis, meta-analysis, reproducible data analysis. Written to build a student's confidence with using R in a step-by-step way, early chapters present the essentials, ensuring that the content is accessible to those that have never programmed before. By giving them a feel for how the software works in practice, students are gradually introduced to simple examples of techniques before building up to more detailed implementations demonstrated in worked examples. Readers are also presented with opportunities to try analysis techniques for themselves. Practice questions are presented at the end of each chapter with answer guidance supplied in the book, while multiple-choice-questions with instant feedback can be accessed online. The author also provides datasets online which students can use to practise their new skills. Digital formats and resources This book is available for students and institutions to purchase in a variety of formats, and is supported by online resources. - The e-book offers a mobile experience and convenient access along with functionality, navigation features, and links that offer extra learning support. This book is accompanied by online resources including multiple-choice-questions with instant feedback, example code, and data files allowing students to run examples independently"-- Amazon.com.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Research
-- Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Life sciences
General subdivision Research
-- Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Research
General subdivision Statistical methods
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sciences sociales
General subdivision Recherche
-- Méthodes statistiques.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Recherche
General subdivision Méthodes statistiques
-- Informatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Langage de programmation)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sciences de la vie
General subdivision Recherche
-- Méthodes statistiques.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01086207
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Research
General subdivision Statistical methods
-- Data processing.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01095243
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Research
-- Statistical methods.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01122971
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c copycat
d 2
e ncip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Edition 23
Classification part 300.285555
Item part B171r
Call number prefix CIR
Call number suffix 2022
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     CAMPUS CSPC CAMPUS CSPC Circulation Section 01/08/2026 GAA   CIR 300.285555 B171r 2022 001779-BUH 01/08/2026 1-1 01/08/2026 Books
    Dewey Decimal Classification     Main Library Main Library Circulation Section 02/13/2026     CIR 300.285555 B171r 2022 031257 02/13/2026 1-1 02/13/2026 Books