Difference between revisions of "Statistical Algorithms Importer: R-blackbox Project"

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(Project Configuration)
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==Project Configuration==
 
==Project Configuration==
 
:Define project's metadata
 
:Define project's metadata
[[Image:StatisticalAlgorithmsImporter_RBlackBox1.png|thumb|center|800px|R-blackbox Info, SAI]]
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[[Image:StatisticalAlgorithmsImporter_RBlackBox1.png|thumb|center|750px|R-blackbox Info, SAI]]
  
 
:Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .r file)
 
:Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .r file)
[[Image:StatisticalAlgorithmsImporter_RBlackBox2.png|thumb|center|800px|R-blackbox I/O, SAI]]
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[[Image:StatisticalAlgorithmsImporter_RBlackBox2.png|thumb|center|750px|R-blackbox I/O, SAI]]
  
 
:Add information about the running environment (e.g. R version etc.)  
 
:Add information about the running environment (e.g. R version etc.)  
[[Image:StatisticalAlgorithmsImporter_RBlackBox3.png|thumb|center|800px|R-blackbox Interpreter, SAI]]
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[[Image:StatisticalAlgorithmsImporter_RBlackBox3.png|thumb|center|750px|R-blackbox Interpreter, SAI]]
  
 
:After the [https://wiki.gcube-system.org/gcube/Statistical_Algorithms_Importer:_Create_Software software creation phase] a Main.R file and a Taget folder are created
 
:After the [https://wiki.gcube-system.org/gcube/Statistical_Algorithms_Importer:_Create_Software software creation phase] a Main.R file and a Taget folder are created
[[Image:StatisticalAlgorithmsImporter_RBlackBox4.png|thumb|center|800px|R-blackbox Create, SAI]]
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[[Image:StatisticalAlgorithmsImporter_RBlackBox4.png|thumb|center|750px|R-blackbox Create, SAI]]
 
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== Example Code ==
 
== Example Code ==

Revision as of 14:57, 20 December 2017

This page explains how to create a R-blackbox project using the Statistical Algorithms Importer (SAI) portlet.
R-blackbox Project, SAI

Project Configuration

Define project's metadata
R-blackbox Info, SAI
Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .r file)
R-blackbox I/O, SAI
Add information about the running environment (e.g. R version etc.)
R-blackbox Interpreter, SAI
After the software creation phase a Main.R file and a Taget folder are created
R-blackbox Create, SAI

Example Code

R code in sample:
#
# author Giancarlo Panichi
#
test<-"checkinput"
write.csv(test,file="program.txt")

Example Download

File:RBlackBox.zip

Inheritance of Global and Infrastructure Variables

at each run of the process the globalvariables.csv file is created locally to the process (i.e. it can be read as ./globalvariables.csv), which contains the following global variables that are meant to allow the process to properly contact the e-Infrastructure services:

  • gcube_username (the user who run the computation, e.g. gianpaolo.coro)
  • gcube_context (the VRE the process was run in, e.g. d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab)
  • gcube_token (the token of the user for the VRE, e.g. 1234-567-890)

The format of the CSV file is like the one of the following example:

globalvariable,globalvalue
gcube_username,gianpaolo.coro
gcube_context,/d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab
gcube_token,1234-567-890