Maindonald, J. H. (John Hilary), 1937- Data analysis and graphics using R
maindonaldjh(johnhilary)1937dataanalysisandgraphicsusingr
Braun, John, 1963- Data analysis and graphics using R
braunjohn1963dataanalysisandgraphicsusingr
DLC marc2bibframe2 v1.5.0-SNAPSHOT: 2019-06-13T13:03:11-04:00
corrected or revised
c
full
aacr
16036683
2010-08-26T15:43:16
2009-12-29
015462080
Uk
DLC
DLC
UKM
BWKUK
BWK
CDX
YDXCP
BWX
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DLC
English
illustrations
plates
bibliographies
Index present
2009054016
QA276.4
.M245 2010
519.50285
http://id.loc.gov/vocabulary/classSchemes/ddc22
full
Maindonald, J. H. (John Hilary), 1937-
Contributor
Data analysis and graphics using R :
Data analysis and graphics using R :
Data analysis and graphics using R
Includes bibliographical references and indexes.
"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"--Provided by publisher.
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.
Statistics--Data processing.
Statistics--Data processing.
Statistics
Data processing
statisticsdataprocessing
Statistics--Graphic methods--Data processing.
Statistics--Graphic methods--Data processing.
Statistics
Graphic methods
Data processing
statisticsgraphicmethodsdataprocessing
R (Computer program language)
R (Computer program language)
r(computerprogramlanguage)
Braun, John, 1963-
Contributor
Cambridge series on statistical and probabilistic mathematics
cambridgeseriesonstatisticalandprobabilisticmathematics
Cambridge series on statistical and probabilistic mathematics
Cambridge series on statistical and probabilistic mathematics
Data analysis and graphics using R : an example-based approach /
Data analysis and graphics using R