StatDataML:: An XML format for statistical data

被引：0

作者：

Meyer, D

Leisch, F

Hothorn, T

Hornik, K

机构：

[1] Vienna Univ Technol, Inst Stat & Wahrscheinlichkeitstheorie, A-1040 Vienna, Austria

[2] Univ Erlangen Nurnberg, Inst Med Informat Biometr & Epidemiol, D-91054 Erlangen, Germany

[3] Vienna Univ Econ & Business Adm, Inst Stat, A-1090 Vienna, Austria

[4] Univ Vienna, Inst Stat & Decis Support Syst, A-1010 Vienna, Austria

来源：

COMPUTATIONAL STATISTICS | 2004年 / 19卷 / 03期

关键词：

data exchange; data design; XML;

D O I：

10.1007/BF03372109

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In order to circumvent common difficulties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce a new data exchange format for statistical data called StatDataML. Because it seems natural for complex data structures to separate the raw data from its logical structure, we base StatDataML on XML, the Extensible Markup Language. In addition, our design borrows from the language S, such that data objects are basically organized as recursive and non-recursive structures, and may also be supplemented with meta-information. Besides a detailed presentation of the language elements, the paper includes a comparison with other data concepts as well as some examples illustrating the StatDataML format and its practical use.

引用

页码：493 / 509

页数：17

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