Graphics for Statistics and Data Analysis With R

Zusatztext 68053359 Informationen zum Autor Kevin J. Keen is a statistician and an associate professor of mathematics at the University of Northern British Columbia in Prince George! Canada. Zusammenfassung Graphics for Statistics and Data Analysis with R 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 array of graphical displays for the presentation of data! including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable! a single continuous variable! and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart! bar chart! pictographs! stemplot! boxplot! and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation! diagnostic plots for the simple linear regression model! polynomial regression! and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data! this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book's website. Inhaltsverzeichnis INTRODUCTION The Graphical Display of Information Introduction Know the Intended Audience Principles of Effective Statistical Graphs Graphicacy Graphical Statistics A SINGLE DISCRETE VARIABLE Basic Charts for the Distribution of a Single Discrete Variable Introduction An Example from the United Nations The Dot Chart The Bar Chart The Pie Chart Advanced Charts for the Distribution of a Single Discrete Variable Introduction The Stacked Bar Chart The Pictograph Variations on the Dot and Bar Charts Frames! Grid Lines! and Order A SINGLE CONTINUOUS VARIABLE Exploratory Plots for the Distribution of a Single Continuous Variable Introduction The Dotplot The Stemplot The Boxplot The EDF Plot Diagnostic Plots for the Distribution of a Continuous Variable Introduction The Quantile-Quantile Plot The Probability Plot Estimation of Quartiles and Percentiles Nonparametric Density Estimation for a Single Continuous Variable Introduction The Histogram Kernel Density Estimation Spline Density Estimation Choosing a Plot for a Continuous Variable Parametric Density Estimation for a Single Continuous Variable Introduction Normal Density Estimation Transformations to Normality Pearson's Curves Gram-Charlier Series Expansion TWO VARIABLES Depicting the Distribution of Two Discrete Variables Introduction The Grouped Dot Chart The Grouped Dot-Whisker Chart The Two-Way Dot Chart The Multi-Valued Dot Chart The Side-by-Side Bar Chart The Side-by-Side Bar-Whisker Chart The Side-by-Side Stacked Bar Chart The Side-by-Side Pie Chart The Mosaic Chart Depicting the Distribution of One Continuous Variable and One Discrete Variable Introduction The Side-by-Side Dotplot The Side-by-Side Boxplot The Notched Boxplot The Variable-Width Boxplot The Back-to-Back Stemplot The Side-by-Side Stemplot The Side-by-Side Dot-Whisker Plot The Trellis Kernel Density Estimate

Dettagli sul prodotto

• Autori: Kevin J. Keen
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 21.04.2010
• EAN: 9781584880875
• ISBN: 978-1-58488-087-5
• Pagine: 489
• Serie: Chapman & Hall/CRC Texts in Statistical Science; Chapman & Hall/CRC Texts in Statistical Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica