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Activity Number:
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190
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Type:
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Invited
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Date/Time:
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Tuesday, August 13, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Amstat Online
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| Abstract - #300060 |
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Title:
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Extensible Formats for Data Analysis, Documentation, and Simulation Control
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Author(s):
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Friedrich Leisch*+
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Affiliation(s):
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Technische Universität Wien
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Address:
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Wiedner Hauptstraße 8-10/1071, Wien, , A-1040, Austria
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Keywords:
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R ; XML ; integrated documents
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Abstract:
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One of the distinctions between good statistical software and general purpose numerical software is the ability of the software to operate easily with meta-information on raw numbers, like scale information (nominal, ordinal, metric) or missing values. However, this information is only the lowest level of meta-information that can be associated with a data set. Often it is desirable to turn a raw data set into more general statistical objects that consist of the raw data itself, together with information on the source, documentation, and previous usages up to a complete statistical analysis (including code therefore). We discuss various options for designing the syntax of such general statistical objects and show solutions that are already implemented in R. XML is a natural choice whenever contents and meta-information about the content shall be stored in a file. This allows for flexible ways of controlling even large-scale simulations that involve more than one engine for numerical computing and exchange data between several R and octave processes in each simulation cycle.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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