2 research outputs found

    Cumulative number of data packages in the Knowledge Network for Biocomplexity until 2007-06-21

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    This data set records the cumulative number of data packages in the Knowledge Network for Biocomplexity (KNB) data repository through 2007-06-21. A data package represents a set of data files and metadata files that together make a coherent, citable unit for some particular scientific activity. Each data package in the KNB is described by a scientific metadata document and can be composed of one or more data files that contain various segments of the data in question

    Supplement 1. An R library to calculate the spline correlogram and cross-correlogram.

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    <h2>File List</h2><blockquote> <p><a href="ecolsupl.pdf">ecolsupl.pdf</a> -- Description of R library for calculating spline (cross-) correlograms</p> <p><a href="ecolsupl_1.0-0.zip">ecolsupl_1.0-0.zip</a> -- R library for calculating spline (cross-) correlograms compressed using zip</p> <p><a href="ecolsupl_1.0-0.tar.gz">ecolsupl_1.0-0.tar.gz</a> -- tar archive containing R library for calculating spline (cross-) correlograms compressed using zip</p> <p> </p> </blockquote><h2>Description</h2><blockquote> <p>R functions for analyzing spatial (cross-)covariance. This is a stripped down version of the ncf library (written and maintained by the author). Note that the ecolsupl will NOT be maintained beyond version 1.0-0.</p> <p>Version: 1.0-0<br> Date: 2004/06/08<br> Depends: R(>=1.9)<br> Maintainer: Ottar N. Bjørnstad<br> Author: Ottar N. Bjørnstad<br> URL: <a href="http://onb.ent.psu.edu/onb1/R">http://onb.ent.psu.edu/onb1/R</a><br> License: GPL<br> Built: R 1.9.0;;2004-06-08 17:02:46; unix<br> Packaged: Tue Jun 8 17:04:08 2004; onb1 Built: R 1.9.0;;2004-06-08 17:05:15; windows</p> <p>To install library in R, download ecolsupl\_1.0-0.zip (Windows) or ecolsupl\_1.0-0.tar.gz (Linux/UNIX) to a local disk, and use (in Unix) "R CMD INSTALL ecolsupl_1.0-0.tar.gz", or (in Windows) the "Packages/Install from local zip files" menu item to install the package.</p> <p>R itself can be downloaded from <a href="http://www.R-project.org/">http://www.R-project.org/</a></p> <p> </p></blockquote
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