Support for Parallel Computation, Logging, and Function Automation
Add the default console logger
Add the default e-mail logger
Add the default error report logger
Add the default file logger
Remove all registered loggers
Apply a function to a list using the cluster
Require a package in the cluster
Converts a JSON string to a settings object
Convert a settings object to a JSON string
Create an argument function
Create console appender
Create e-mail appender
Create file appender
Create a logger
Exclude variables from a list of objects of the same type
Get all registered loggers
Get the total amount of physical memory
Return the number of the current thread
Launch the log viewer Shiny app
Logging layout for e-mail
Logging layout for error report
Logging layout for parallel computing
Simple logging layout
Logging layout with stack trace
Logging layout with timestamp
Load a settings object from a JSON file
Log a message at the DEBUG level
Log a message at the ERROR level
Log a message at the FATAL level
Log a message at the INFO level
Log a message at the TRACE level
Log a message at the WARN level
Create a cluster of nodes for parallel computation
In a list of object of the same type, find those that match the input
ParallelLogger: Support for Parallel Computation, Logging, and Functio...
Register a logger
Save a settings object as JSON file
Select variables from a list of objects of the same type
Stop the cluster
Unregister a logger
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Useful links