Difference between revisions of "Statistical Algorithms Importer: R-blackbox Project"
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| − | :This page explains how to create a R-blackbox project using the Statistical Algorithms Importer (SAI) portlet. | + | :This page explains how to create a R-blackbox project using the [[Statistical_Algorithms_Importer|Statistical Algorithms Importer (SAI)]] portlet. |
[[Image:StatisticalAlgorithmsImporter_RBlackBox0.png|thumb|center|250px|R-blackbox Project, SAI]] | [[Image:StatisticalAlgorithmsImporter_RBlackBox0.png|thumb|center|250px|R-blackbox Project, SAI]] | ||
==Project Configuration== | ==Project Configuration== | ||
:Define project's metadata | :Define project's metadata | ||
| − | [[Image:StatisticalAlgorithmsImporter_RBlackBox1.png|thumb|center| | + | [[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| | + | [[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| | + | [[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| | + | [[Image:StatisticalAlgorithmsImporter_RBlackBox4.png|thumb|center|750px|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== | ==Example Download== | ||
[[File:RBlackBox.zip|RBlackBox.zip]] | [[File:RBlackBox.zip|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: | ||
| + | |||
| + | <source lang='vim'> | ||
| + | globalvariable,globalvalue | ||
| + | gcube_username,gianpaolo.coro | ||
| + | gcube_context,/d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab | ||
| + | gcube_token,1234-567-890 | ||
| + | </source> | ||
| + | |||
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Latest revision as of 18:09, 18 October 2018
- 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
