National Science Library of Georgia

Data analysis and graphics using R : (Record no. 516957)

MARC details
000 -LEADER
fixed length control field 03085nam a22004098i 4500
001 - CONTROL NUMBER
control field CR9781139194648
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200124160223.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111109s2010||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781139194648 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780521762939 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276.4
Item number .M245 2010
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50285
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Maindonald, J. H.
Fuller form of name (John Hilary),
Dates associated with a name 1937-
Relator term author.
245 10 - TITLE STATEMENT
Title Data analysis and graphics using R :
Remainder of title an example-based approach /
Statement of responsibility, etc John Maindonald and W. John Braun.
246 3# - VARYING FORM OF TITLE
Title proper/short title Data Analysis & Graphics Using R
250 ## - EDITION STATEMENT
Edition statement Third edition.
264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R)
Place of production, publication, distribution, manufacture (R) Cambridge :
Name of producer, publisher, distributor, manufacturer (R) Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxvi, 525 pages) :
Other physical details digital, PDF file(s).
336 ## - Content Type (R)
Content type term (R) text
Content type code (R) txt
Source (NR) rdacontent
337 ## - Media Type (R)
Media type term (R) computer
Media type code (R) c
Source (NR) rdamedia
338 ## - Carrier Type (R)
Carrier type term (R) online resource
Carrier type code (R) cr
Source (NR) rdacarrier
490 1# - SERIES STATEMENT
სერიის ცნობა Cambridge series on statistical and probabilistic mathematics ;
Volume number/sequential designation 10
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note A brief introduction to R -- Styles of data analysis -- Statistical models -- A review of inference concepts -- Regression with a single predictor -- Multiple linear regression -- Exploiting the linear model framework -- Generalized linear models and survival analysis -- Time series models -- Multi-level models, and repeated measures -- Tree-based classification and regression -- Multivariate data exploration and discrimination -- Regression on principal component or discriminant scores -- The R system: additional topics -- Graphs in R.
520 ## - SUMMARY, ETC.
Summary, etc Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Graphic methods
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Braun, John,
Dates associated with a name 1963-
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9780521762939
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Cambridge series on statistical and probabilistic mathematics ;
Volume number/sequential designation 10.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/CBO9781139194648">https://doi.org/10.1017/CBO9781139194648</a>

No items available.

Copyright © 2023 Sciencelib.ge All rights reserved.