Difference between revisions of "Statistical Algorithms Importer: R-blackbox Project"
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: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]] | [[Image:StatisticalAlgorithmsImporter_RBlackBox4.png|thumb|center|800px|R-blackbox Create, SAI]] | ||
| + | |||
| + | |||
| + | == Example Code == | ||
| + | :R code in sample: | ||
| + | |||
| + | <source lang='javascript'> | ||
| + | # | ||
| + | # author Giancarlo Panichi | ||
| + | # | ||
| + | test<-"checkinput" | ||
| + | write.csv(test,file="program.txt") | ||
| + | </source> | ||
| + | |||
| + | ==Example Download== | ||
| + | [[File:RBlackBox.zip|RBlackBox.zip]] | ||
==Inheritance of Global and Infrastructure Variables== | ==Inheritance of Global and Infrastructure Variables== | ||
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Revision as of 13:38, 20 December 2017
- This page explains how to create a R-blackbox project using the Statistical Algorithms Importer (SAI) portlet.
Project Configuration
- Define project's metadata
- Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .r file)
- Add information about the running environment (e.g. R version etc.)
- After the software creation phase a Main.R file and a Taget folder are created
Example Code
- R code in sample:
# # author Giancarlo Panichi # test<-"checkinput" write.csv(test,file="program.txt")
Example Download
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
