Simulation-class: Class "Simulation"

Description Objects from the Class Slots Extends Methods Note Author(s) See Also Examples

Description

In an object of type Simulation data can be simulated in any distribution and size.

Objects from the Class

Objects can be created by calls of the form Simulation(filename, samplesize, runs, seed, distribution) (observation dimension is deduced from slot distribution). A Simulation-object includes a filename, a name for the simulation, the number of runs, the size of the sample, the seed and the distribution of the random numbers. The slot Data stays empty until the method simulate has been used.

Slots

seed:

Object of class "list": the seed the simulation has been generated with

distribution:

Object of class "UnivariateDistribution": the distribution of the random numbers

filename:

Object of class "character": the filename the simulation shall be saved

name:

Object of class "character": a name for the Simulation

Data:

Object of class "ArrayorNULLorVector": the simulated data

samplesize:

Object of class "numeric": the size of the sample

obsDim:

Object of class "numeric": the dimension of the observations of the data

runs:

Object of class "numeric": the number of runs of the data

version:

Object of class "character": the version of this package, under which this object was generated

Extends

Class "Dataclass", directly.

Methods

Data

signature(object = "Simulation"): returns the simulated data.

Data<-

signature(object = "Simulation"): ERROR: A modification of simulated data is not allowed.

filename

signature(object = "Simulation"): returns the the filename

filename<-

signature(object = "Simulation"): changes the the filename

name

signature(object = "Simulation"): returns the the name

name<-

signature(object = "Simulation"): changes the the name

distribution

signature(object = "Simulation"): returns the distribution

distribution<-

signature(object = "Simulation"): changes the distribution

seed

signature(object = "Simulation"): returns the seed

seed<-

signature(object = "Simulation"): changes the seed

obsDim

signature(object = "Simulation"): returns the dimension of the observations

getVersion

signature(object = "Simulation"): returns the version of this package, under which this object was generated

runs

signature(object = "Simulation"): returns the number of runs

runs<-

signature(object = "Simulation"): changes the number of runs

samplesize

signature(object = "Simulation"): returns the size of the sample

samplesize<-

signature(object = "Simulation"): changes the size of the sample

savedata

signature(object = "Simulation"): saves the object without the data in the directory of R (After loading the data can be reproduced by using simulate.)

initialize

signature(.Object = "Simulation"): initialize method

plot

signature(x = "Simulation"): produces a plot of the data matrix; for details confer plot-methods

print

signature(x = "Simulation"): returns filename, seed, the observation dimension, the number of runs, the size of the sample, the distribution generating the simulations, and, if from a version > 1.8, also the package version under which the object was generated

show

signature(x = "Simulation"): the same as print.

simulate

signature(x = "Simulation"): generates the random numbers for the simulation

summary

signature(object = "Simulation"): returns filename, seed, number of runs, the size of the sample and a statistical summary for each run

Note

Changing distribution, seed, runs or samplesize deletes possibly simulated data, as it would not fit to the new parameters.

Author(s)

Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de,
Matthias Kohl Matthias.Kohl@stamats.de

See Also

Dataclass-class Contsimulation-class plot-methods print-methods summary-methods simulate-methods getVersion-methods

Examples

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N=Norm() # N is a standard normal distribution.
S=Simulation(filename="xyz",runs=10,samplesize=3,seed=setRNG(),distribution=N)
Data(S) # no data yet
simulate(S)
Data(S) # now there are random numbers
Data(S) # the same data as before because the seed has not changed
seed(S)=setRNG()
simulate(S)
Data(S) # different data
savedata(S) # saves the object in the directory of R...
load("xyz") # loads it again...
Data(S) # ...without the data - use simulate to return it!

distrSim documentation built on May 2, 2019, 6:50 p.m.