Difference between revisions of "R algorithm integration with Statistical Manager"

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(Created page with " == 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 a...")
 
(Related links)
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== Related links ==
 
== Related links ==
  
* [How to implement algorithms for the Statistical Manager http://gcube.wiki.gcube-system.org/gcube/index.php/How-to_Implement_Algorithms_for_the_Statistical_Manager]
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* [[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]]
* [Implement Statistical Manager algorithms - tutorial video http://i-marine.eu/Content/eTraining.aspx?id=e1777006-a08c-49ad-b2e6-c13e094f27d4]
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* [[http://i-marine.eu/Content/eTraining.aspx?id=e1777006-a08c-49ad-b2e6-c13e094f27d4 Implement Statistical Manager algorithms - tutorial video]]

Revision as of 08:42, 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

Related links