animals: #Create a dataset for classification

In rishi1226/lClass: Basic Classifier Functions

Description

#Create a dataset for classification

Usage

animals(rho, sdXY, muXY, noSim, seed = 5341)

Arguments

rho	A vector of 3 numbers belonging to [-1,1] which indicate the correlation between two features of the three classes to simulate.
sdXY	A list of 3 vectors which indicate the standard deviation of features of a class.
muXY	A list of 3 vectors which indicate the mean of features of a class.
noSim	A vector of 3 numbers of no of simulations desired for each class
seed	Specifies seed. Default Value = 1234

Value

Data Frame of simulations with their classes and coded dummy variables

Examples

noAnimals <- c(200, 200, 200)
rho  <- c(-0.2, 0.8, 0.02)
sdXY <- list(c(2, 8), c(3.5, 12), c(1, 3))
muXY <- list(c(6, 30), c(12, 50), c(4,10))
animalsDF <- animals(rho, sdXY, muXY, noAnimals)

rishi1226/lClass documentation built on May 27, 2019, 9:10 a.m.