Trunc: Simulation from a Truncated Distribution

In Sim.PLFN: Simulation of Piecewise Linear Fuzzy Numbers

Description

This function can simulation from a truncated distribution which is used for generating the left and right spreads of Piecewise Linear Fuzzy Numbers (PLFNs).

Usage

Trunc(n, T.dist, T.dist.par, L = -Inf, R = Inf)

Arguments

n	The sample size.
T.dist	The distribution name of random variable (which one needs its truncated version) is determined by characteristic element T.dist. The names of distributions is similar to stats package.
T.dist.par	A vector of distribution parameters (which one needs its truncated version) with considered ordering in stats package.
L	The left point of truncation of distribution.
R	The right point of truncation of distribution.

Details

The goal of introducing Trunc function in this package is only using in PLFN and S.PLFN functions.

Value

A vector of random data from the considered truncated distribution.

See Also

DISTRIB

Examples

# Truncated Normal Distribution: 

data1 = Trunc(n=10^4, T.dist="norm", T.dist.par=c(5,2), L=3, R=10)
hist(data1)

data2 = Trunc(n=1000, T.dist="chisq", T.dist.par=4, L=0, R=12)
hist(data2)

data3 = Trunc(n=10^4, T.dist="norm", T.dist.par=c(5,2), L=3) 
hist(data3)

Example output

Sim.PLFN documentation built on May 2, 2019, 5:51 a.m.