En savoir plus
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.
Table des matières
Introduction. The Graphical Display of Information. A Single Discrete Variable. Basic Charts for the Distribution of a Single Discrete Variable. Advanced Charts for the Distribution of a Single Discrete Variable. A Single Continuous Variable. Exploratory Plots for the Distribution of a Single Continuous Variable. Diagnostic Plots for the Distribution of a Continuous Variable. Nonparametric Density Estimation for a Single Continuous Variable. Parametric Density Estimation for a Single Continuous Variable. Two Variables. Depicting the Distribution of Two Discrete Variables. Depicting the Distribution of One Continuous Variable and One Discrete Variable. Depicting the Distribution of Two Continuous Variables. Statistical Models for Two or More Variables. Graphical Displays for Simple Linear Regression. Graphical Displays for Polynomial Regression. Visualizing Multivariate Data. References. Index.
A propos de l'auteur
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.
Résumé
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
