Usage
TwoStageControl(..., fun1 = srs, fun2 = srs, size1 = NULL,
size2 = NULL, prob1 = NULL, prob2 = NULL,
dots1 = list(), dots2 = list())Arguments
...
the slots for the new object (see below).
fun1
the function to be used for sampling in the first stage (the
first list component of slot fun).
fun2
the function to be used for sampling in the second stage (the
second list component of slot fun).
size1
the number of PSUs to sample in the first stage (the first list
component of slot size).
size2
the number of items to sample in the second stage (the second
list component of slot size).
prob1
the probability weights for the first stage (the first list
component of slot prob).
prob2
the probability weights for the second stage (the second list
component of slot prob).
dots1
additional arguments to be passed to the function for sampling
in the first stage (the first list component of slot dots).
dots2
additional arguments to be passed to the function for sampling
in the second stage (the second list component of slot dots).
Objects from the Class
Objects can be created by calls of the form new("TwoStageControl", ...)
or via the constructor TwoStageControl.Details
There are some restrictions on the argument names of the functions for
sampling in fun. If the sampling method needs population data as
input, the corresponding argument should be called x and should expect
a data.frame. If it only needs the population size as input, the
argument should be called N. Note that the function is not expected
to have both x and N as arguments, and that the latter is
typically much faster. Furthermore, if the function has arguments for sample
size and probability weights, they should be called size and
prob, respectively. Note that a function with prob as its only
argument is perfectly valid (for probability proportional to size sampling).
Further arguments may be supplied as a list via the slot dots.Extends
Class "VirtualSampleControl", directly.
Class "OptSampleControl", by class "VirtualSampleControl", distance 2.UML class diagram
A slightly simplified UML class diagram of the framework can be found in
Figure 1 of the package vignette An Object-Oriented Framework for
Statistical Simulation: The RPackage simFrame. Use
vignette("simFrame-intro") to view this vignette.