DSS and R¶
DSS includes deep integration with R. In many parts of DSS, you can write R code:
- In recipes (both regular R, SparkR and Sparklyr)
- In Jupyter notebooks
- For Shiny webapps
- In plugins
- In API node, for custom prediction models or custom functions endpoints
Any R package may be used in DSS.
In addition, DSS features a complete R API, which has its own documentation.
The following highlights how a few specific R packages can be used in DSS. DSS features advanced integration with most of the packages described below.
DSS also has integration with RStudio
- Installing R packages
- Reusing R code
- Using ggplot2
- Using Dygraphs
- Using googleVis
- Using ggvis
- Installing STAN or Prophet
- RStudio integration