Graphics for Statistics and Data Analysis with R

Description

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.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Other editions

• 

  Graphics for Statistics and Data Analysis with R

  • 2010-04-26
  • 489 pages
  • Paperback
  • CRC Press

Similar books

• 

  Integral Geometry and Tomography: Proceedings of the AMS-IMS-SIAM Joint Summer Research Conference, Held June 24-30, 1989, with Support from the...

  By Eric Grinberg, Eric Todd Quinto

  In Section 2 we will deal with the “discrete” case. Let S be a locally finite tree T endowed with the natural integer-valued distance function: the ...

• 

  Ordinary Differential Equations and Linear Algebra: A Systems Approach

  By Todd Kapitula

  ... for in this case [yp](s)=s[yp](s), [yp](s)=s2[yp](s). As we will see in the examples, this assumption also makes it possible to deal with the initial ...

• 

  Cognition and Intractability: A Guide to Classical and Parameterized Complexity Analysis

  By Iris van Rooij, Mark Blokpoel, Johan Kwisthout

  x,y∈S δ(x,y) is maximum. u(x) + ADDITIVE SUBSET CHOICE Input: A set X = {x1 ,x2 ... F Tractability cycle Test 8.2 How (Not) to Deal with Intractability 173.

• 

  Mymathlab -- Standalone Access Card

  By Pearson Education, David P Pearson Education, Hall H Pearson Education

  Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable.

• 

  Mymathlab Student Acc Kit + Intro Alg Wrkshts

  By Inc. Pearson Education

  Mymathlab Student Acc Kit + Intro Alg Wrkshts

• 

  Pearson Mathematics 7: H.P

  By Pearson Education Australia Staff

  Pearson Mathematics homework program for Year 7 provides tear-out sheets which correspond with student book sections, providing systematic and cumulative skills revision of basic skills and current class topics in the form of take-home ...

• 

  Worksheets for Classroom Or Lab Practice for Intermediate Algebra: Graphs & Models

  By Addison-Wesley

  Worksheets for Classroom Or Lab Practice for Intermediate Algebra: Graphs & Models

• 

  Pearson Mathematics New South Wales 8 Student Book: Australian Curriculum

  By Pearson Education Australia Staff, Gael McLeod, David Coffey

  The Student Book provides an easy-to-use 'nuts and bolts' book at each year level.

• 

  Matrix Iterative Analysis

  By Richard S. Varga

  ... partial differential equations have received a great deal of attention. For excellent bibliographical coverage, see Todd (1956), Richtmyer (1957), ...

• 

  Mathematical Modelling: Education, Engineering and Economics - ICTMA 12

  By C Haines, P Galbraith, W Blum

  Todd, P. A., McKeen, .l. ... ANALYTICAL SUPPORT PROBLEM SOLVING Cognitive Perspectives on Modelling HOW DO STUDENTS AND TEACHERS DEAL Sodhi and Son 219 NOTE ...