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Bibframe Work

Data analysis and graphics using R
Statistics--Data processing.
Statistics--Graphic methods--Data processing.
R (Computer program language)
Illustrative Content
LCC: QA276.4 .M245 2010 (Source: dlc)
DDC: 519.50285 full (Assigner: dlc)
Identified By
Lccn: 2009054016
"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.
Table Of Contents
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.
Authorized Access Point
Maindonald, J. H. (John Hilary), 1937- Data analysis and graphics using R
Authorized Access Point Variant
Braun, John, 1963- Data analysis and graphics using R