generate: Generate data
In simFrame: Simulation Framework

Description Usage Arguments Details Value Methods Author(s) References See Also Examples

Generic function for generating data based on a (distribution) model.

generate(control, ...)

## S4 method for signature 'DataControl'
generate(control)

`control`	a control object inheriting from the virtual class `"VirtualDataControl"` or a character string specifying such a control class (the default being `"DataControl"`).
`...`	if `control` is a character string or missing, the slots of the control object may be supplied as additional arguments. See `"DataControl"` for details on the slots.

The control class "DataControl" is quite simple but general. For user-defined data generation, it often suffices to implement a function and use it as the distribution slot in the "DataControl" object. See "DataControl" for some requirements for such a function.

However, if more specialized data generation models are required, the framework can be extended by defining a control class "MyDataControl" extending "VirtualDataControl" and the corresponding method generate(control) with signature 'MyDataControl'. If, e.g., a specific distribution or mixture of distributions is frequently used in simulation experiments, a distinct control class may be more convenient for the user.

A data.frame.

control = "character": generate data using a control class specified by the character string control. The slots of the control object may be supplied as additional arguments.
control = "missing": generate data using a control object of class "DataControl". Its slots may be supplied as additional arguments.
control = "DataControl": generate data as defined by the control object control.

Andreas Alfons

Alfons, A., Templ, M. and Filzmoser, P. (2010) An Object-Oriented Framework for Statistical Simulation: The R Package simFrame. Journal of Statistical Software, 37(3), 1–36. doi: 10.18637/jss.v037.i03.

"DataControl", "VirtualDataControl"

# using a control object
dc <- DataControl(size = 10, distribution = rnorm,
    dots = list(mean = 0, sd = 2))
generate(dc)

# supply slots of control object as arguments
generate(size = 10, distribution = rnorm,
    dots = list(mean = 0, sd = 2))