This R package provides functions for quick access of SciServer APIs (web services) and tools. SciServer provides a new online framework for data-intensive scientifc computing in the cloud, where the motto is to bring the computation close where the data is stored, and allow seamless access and sharing of big data sets within the scientific community.
Some SciServer tools you can access with this package:
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Login Portal: Single sign-on portal to all SciServer applications.
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CasJobs: Database storage and querying.
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SciDrive: Drag-and-drop file storage and sharing.
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SkyServer: Access to the SDSS astronomical survey.
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SkyQuery: Cross-match of astronomical source catalogs.
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Compute Jobs and SciQuery Jobs: Synch and asynch submission of Jupyter notebooks, shell commands and SQL queries.
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Files: Interact with the SciServer file system.
Maintainer: Manuchehr Taghizadeh-Popp.
Authors: Gerard Lemson, Manuchehr Taghizadeh-Popp.
1.1.- Run git clone http://github.com/sciserver/SciScript-R.git
2.1.- Open ./R/Config.py and edit the API URLs and parameters to match those of the SciServer tools and installation, according to the instructions and descriptions found therein.
There are 2 possibilities: automatic or manual installation.
3.a.1.- Run Rscript ShowSciServerTags.R in order to see the version tags that label each SciServer release containing new SciScript code.
3.b.2.- Run Rscript Install.R tag, where tag is the version of the SciServer release containing the SciScript version you want to install or update to (see previous step). If tag is not specified, then the latest version will be installed.
3.b.1.- To check the code before building the R-package, run
R CMD check SciScript-R
3.b.2.- To build and compress the R-package, run
R CMD build SciScript-R
3.b.3.- To install the R-package, run
R CMD INSTALL SciServer_VERSION.tar.gz,
where SciServer_VERSION.tar.gz was created in step 2. The string VERSION is the SciServer release tag, which is written automatically in the .gz file name, and you can find it in the DESCRIPTION file.
4.1.- Run Rscript CreateHtmlDocs.R dir, where dir is the directory where the html files will be created. If dir is not specified, then the html files will be created in ./html/
5.1.- Open ./Tests/RunUnitTests.R and edit the Authentication_loginName and Authentication_loginPassword parameters in order to run the Tests under the credentials of a (test) user.
5.2.- Run Rscript RunUnitTests.R while in the ./Tests directory in order to run the unit tests for the SciScript-R modules. Be sure all that all tests end with an done successfully status.
6.1.- In the directory ./Examples you can find python scripts or Jupyter notebooks that will run sample code using SciScript-R modules and methods.