Difference between revisions of "R algorithm integration with Statistical Manager"
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== Related links == | == Related links == | ||
| − | * | + | * [http://gcube.wiki.gcube-system.org/gcube/index.php/How-to_Implement_Algorithms_for_the_Statistical_Manager How to implement algorithms for the Statistical Manager] |
| − | * | + | * [http://i-marine.eu/Content/eTraining.aspx?id=e1777006-a08c-49ad-b2e6-c13e094f27d4 Implement Statistical Manager algorithms - tutorial video] |
| + | * [https://github.com/opensdmx/rsdmx rsdmx package for R] | ||
Revision as of 09:43, 19 June 2014
Hypothesis and Thesis
The SDMX Data converter is part of serie of experiments to test and assess how data managers / developers can plug easily algorithms (especially R algorithms) in the infrastructure, through the Statistical Manager tool, and respond quickly to data analysis needs while benefiting of iMarine computing resources.
The product of this experiment is a service that allows to convert a SDMX dataset, provided through a SDMX service URL, to the CSV format.
The broader scope of this experiment is:
- to assess how a data manager / developer can plug an algorithm by their own,
- to identify potential improvements to make the R script integration quick and easy
Outcome
TBD
Activity Workflow
TBD
Conclusion
TBD
Recommendations & future developments
TBD
Experimentation
TBD
