Graphics for Statistics and Data Analysis with R av Kevin J. (University of Northern British Columbia Prince George Canada) Keen

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<P>Praise for the First Edition</P><I><P>"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."</I> -Han Lin Shang, <I>Journal of Applied Statistics</P><B><P>Graphics for Statistics and Data Analysis with R</B>,<B> Second Edition</B></I>, 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