rtriang {jmuOutlier}

Triangular Random Generation

Description

Symmetric triangular random generation with endpoints equal to min and max.

Usage

rtriang(n, min = 0, max = 1)

Arguments

n

Number of observations. If length(n)>1, the length is taken to be the number required.

min

Left endpoint of the triangular distribution.

max

Right endpoint of the triangular distribution.

Details

The triangular distribution has density 4 (x-a) / (b-a)^2 for a \le x \le \mu, and 4 (b-x) / (b-a)^2 for \mu < x \le b, where a and b are the endpoints, and the mean of the distribution is \mu = (a+b) / 2.

Value

rtriang generates random deviates.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

dtriang, ptriang, and qtriang.

Examples

# 20 random variates from a Triangular( 100, 200 ) distribution.

rtriang( 20, 100, 200 )