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 |