StatDataML: An XML Format for Statistical Data

@misc{citeulike:2670234, abstract = {In order to circumvent common di\#culties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup language for statistical data, called StatDataML. After comparing StatDataML to other data concepts, we detail the design which borrows from the language S, such that data objects are basically organized as recursive and nonrecursive structures, and may also be supplemented with meta-information.}, author = {Meyer, David and Leisch, Friedrich and Hothorn, Torsten and Hornik, Kurt }, citeulike-article-id = {2670234}, keywords = {format, stats, xml}, posted-at = {2008-04-14 19:46:43}, priority = {2}, title = {StatDataML: An XML Format for Statistical Data}, url = {http://citeseer.ist.psu.edu/546737.html} }

TY - GEN ID - citeulike:2670234 L3 - citeulike-article-id:2670234 TI - StatDataML: An XML Format for Statistical Data N2 - In order to circumvent common di#culties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup language for statistical data, called StatDataML. After comparing StatDataML to other data concepts, we detail the design which borrows from the language S, such that data objects are basically organized as recursive and nonrecursive structures, and may also be supplemented with meta-information. KW - format KW - stats KW - xml AU - Meyer, David AU - Leisch, Friedrich AU - Hothorn, Torsten AU - Hornik, Kurt UR - http://citeseer.ist.psu.edu/546737.html ER -