Titlebook: Lattice; Multivariate Data Vi Deepayan Sarkar Book 2008 Springer-Verlag New York 2008 Data Visualization.Graph.Lattice.R Graphics.Trellis.d

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Trivariate Displays) creates three-dimensional scatter plots of unstructured trivariate data, whereas levelplot(), contourplot(), and wireframe() render surfaces or twodimensional tables evaluated on a systematic rectangular grid. Of these, cloud() and wireframe() are similar in that they both create two-dimensional p

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Graphical Parameters and Other Settingse to control their output. We start, in this chapter, by describing the system of user settable graphical parameters and other global options..Graphical parameters are often critical in determining the effectiveness of a plot. Such parameters include obvious ones such as colors, symbols, line types,

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Advanced Panel Functionsfrom user to programmer can be intimidating for the beginner to contemplate, but is almost inevitable after a point. In the context of lattice, this transition is most often necessitated by a desire to customize the display in small ways, perhaps just to add a common reference line to all panels. Su

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New Trellis Displays default panel functions and can be activated with additional arguments in a high-level function call itself. More extensive modifications can be made by writing custom panel functions, as we have seen throughout this book and particularly in Chapter 13..Although panel functions can be used to imple

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both with latitudinal/longitudinal gradients and with topographic gradients. The topographic patterns in the pollen contours can be used to address paleoecological issues, including aspects of postglacial plant colonization. The topographic patterns also have significance for archaeological studies

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