Sometimes we need a way to store and access R objects directly into a Spotfire DXP. The R objects can be predictive models that have been developed by others in a different DXP. Right now, the only way to get an R object into a DXP is by reading it directly from disk or storing/retrieving it as a blob in a table. It would be much cleaner and easier for the Sptfire author to store such artifacts within the Spotfire library (with access control) and provide a way for users to save R objects to the library and read them from the library.
Could be implemented as:
1. Store as blob in Document Property, and upload/download
2. Could give API access directly from TERR, to do in Data Function (or standalone in TERR). This would allow you to create a model in TERR outsize of RStudio, then use the model in Spotfire (or Streambase, etc.)
Enable TERR to interrogate library to learn what objects are there, looking at metadata. Should support complex objects, special classes, perhaps whole projects. Would enable complex workflows of multiple DXPs, accessing common objects/projects in library.
Moving this to the Spotfire idea portal. Any features that involve the use of TERR in Spotfire should be here. The TERR Idea portal should focus on TERR-specific features (like package compatibility)