snnR (version 1.0)

SimData: SimData

Description

Function to create simulation data of nonlinear function or nonlinear classification.

Usage

SimData(type,nsamples,nvaibles,nClasses)

Arguments

type

If type="Nonlinearregress", this function creates simulation data of nonlinear function. If type="Nonlinearregress", this function creates simulation data of nonlinear classification.

nsamples

positive integer, the samples size of data.

nvaibles

positive integer, the vaible size of data.

nClasses

positive integer, the number of classes for nonlinear classification.

Value

A vector of simulation data of nonlinear function or nonlinear classification .

Examples

# NOT RUN {
###############################################################
#Example 1
 nsamples = 200
 nvaibles = 1
 # Simulation data of nonlinear function with 200 samples and 1 varible input.
 NonlinregressData=SimData("Nonlinearregress",nsamples,nvaibles)
 #  Simulation data of nonlinear classification with 200 samples and 1 varible input for 2 classes.
 nclass=2
 ClassificationData=SimData("Nonlinearclassification",nsamples,nvaibles,nclass)
# }