I frequently create nonparametric statistics (loess, kernel densities, etc) on data I take out of the relational database. To create data management simpler I must store R output back within my DB. This really is easy with simple data frames of amounts or text, however i haven't determined how you can store R objects in my relational database. So it is possible to method to store a vector of kernel densities, for instance, back to a relational database?
At this time Sometimes for this by saving the R objects to some network drive space so others can load the objects when needed.
Make use of the serialization feature to show any R object right into a (raw or character) string, then store that string. See
Reverse this for retrieval: obtain the string, then
unserialize() right into a R object.