1997 | OriginalPaper | Chapter
Implementation in XploRe
Author : Dr. Sigbert Klinke
Published in: Data Structures for Computational Statistics
Publisher: Physica-Verlag HD
Included in: Professional Book Archive
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Here we will show the implementation of the data structures developed in the chapter before in XploRe. Nevertheless not everything which is explained before will be part of XploRe 3.2. First we will describe how graphical data structures are implemented in XploRe 3.2 and how they can be used interactively. Then we will show the data structures for the data being implemented in XploRe 3.2. The basic data structure is a matrix and no hierarchical lists are possible. Then we describe which possibilities of linking are offered in XploRe 3.2. Then we will describe some selected commands in Xplore 3.2 for producing interactivity, for reading and writing data, reading and storing macros, libraries and for binned kernel estimators. These commands will show solutions to some problems we mentioned before or which will be used to show extensions based on the extension from matrices to multivariate arrays. The third section will describe how some selected tools work (random number generator, PCA, grand tour, multidimensional scaling, clustering, multivariate kernel regression, PPR, wavelet regression, interactive contouring). It will show that we are able to implement a variety of (interactive) tools efficiently with the proposed data structures. The fourth section will describe the implementation of arrays in XploRe 4.0, and the fifth will show how the commands BINDATA and CONV are extended for the use with arrays.