# 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

 `1` ```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.

DISTRIB

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```# 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.