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Graphics for Statistics and Data Analysis with R: Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science) - Softcover
Synopsis
Praise for the First Edition
"The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers’ understanding of the graphical techniques discussed in the book. … It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied Statistics
Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print.
Features
- Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R
- Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data
- Provides downloadable R code and data for figures at www.graphicsforstatistics.com
Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.
"synopsis" may belong to another edition of this title.
About the Author
Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.
"About this title" may belong to another edition of this title.
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Graphics for Statistics and Data Analysis with R (Paperback)
Published by
Taylor & Francis Ltd, London, 2020
ISBN 10: 0367734443
ISBN 13: 9780367734442
New
Paperback
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Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Praise for the First Edition"The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers understanding of the graphical techniques discussed in the book. It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied StatisticsGraphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print.Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association. The book presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide variety of graphical displays for the presentation of data, including modern tools for data visualization and representation. The second edition will add examples with t Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367734442
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Graphics for Statistics and Data Analysis With R
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Graphics for Statistics and Data Analysis With R
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Graphics for Statistics and Data Analysis with R: Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
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Graphics for Statistics and Data Analysis with R: Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
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Graphics for Statistics and Data Analysis with R
Published by
Taylor & Francis Ltd, 2020
ISBN 10: 0367734443
ISBN 13: 9780367734442
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Graphics for Statistics and Data Analysis with R: Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
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Graphics for Statistics and Data Analysis with R
Published by
Taylor & Francis Ltd, 2020
ISBN 10: 0367734443
ISBN 13: 9780367734442
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Graphics for Statistics and Data Analysis With R
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Graphics for Statistics and Data Analysis with R
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