Kevin J. Keen (Prince Geor University of Northern British Columbia

Graphics for Statistics and Data Analysis with R

• Gebundenes Buch

Produktbeschreibung

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 the R package ggplot2 in addition to examples with the base and lattice packages in the first edition.

Produktdetails

• Chapman & Hall/CRC Texts in Statistical Science
• Verlag: Taylor & Francis Inc
• 2 ed
• Seitenzahl: 610
• Erscheinungstermin: 18. Mai 2018
• Englisch
• Abmessung: 240mm x 157mm x 41mm
• Gewicht: 1138g
• ISBN-13: 9781498779838
• ISBN-10: 1498779832
• Artikelnr.: 51574452

Autorenporträt

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.

Inhaltsangabe

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.