6.2.1 Arguments for Functions that Run Scripts
The Oracle Machine Learning for R embedded R execution functions ore.doEval
, ore.tableApply
, ore.groupApply
, ore.rowApply
, and ore.indexApply
have arguments that are common to some or all of the functions.
Some of the functions also have an argument that is unique to the function. The following topics describe these arguments:
- Input Function to Execute
The embedded R execution functions all require an R function to apply during the execution of the script. - Optional and Control Arguments
All of the embedded R execution functions take optional arguments, which can be named or not. - Structure of Return Value
Another argument that applies to all of the embedded R execution functions isFUN.VALUE
. - Input Data
Theore.doEval
andore.indexApply
functions do not automatically receive any data from the database. - Parallel Execution
Theparallel
argument specifies the degree of parallelism to use in the embedded R execution of the input function. - Unique Arguments
Theore.groupApply
,ore.indexApply
, andore.rowApply
functions each take an argument that is unique to the function.
See Also:
-
For function signatures and more details about function arguments, see the online help displayed by invoking
help(ore.doEval)
-
For examples of the use of the arguments, see Using the ore.doEval Function and the other topics on using the embedded R execution functions
Parent topic: R Interface for Embedded R Execution