dugen: dugen

In Esra-K/Stats:

Description

We???ve got a function callled rgenerator that produces a vector containing n random numbers between zero and 2^32. So if the i???th element of the vector is rng2[i] we have: 0 < Rng2[i] < 2^32 => 0 < Rng2[i] / 2 ^32 < 1 => 0 < (Rng2[i] / 2 ^32 )* (upperbound- lowerbound) < (upperbound - lowerbound) => lowerbound < (Rng2[i] / 2 ^32 )* (upperbound- lowerbound) + lowerbound< (upperbound -lowerbound) + lowerbound => lowerbound < (Rng2[i] / 2 ^32 )*(upperbound- lowerbound) + lowerbound< upperbound Thus, for i???s between 1 and n, we change Rng2[i] to (Rng2[i] / 2 ^32 )*(upperbound- lowerbound) + lowerbound , and now we have n numbers between lowerbound and upperbound following the uniform distribution. the cugen function is the special case of dugen with minimum 0 and maximum 1.

Usage

dugen(x)

Arguments

the arguments are n(number of integers needed), lowerbound and upperbound(bounds of the interval within which the numbers should be generated).

Value

a vector of n numbers between upperbound and lowerbound is returned.

Examples

a <- dugen(100, 0, 1000)
a
visualdugen(a)

Esra-K/Stats documentation built on May 29, 2019, 6:41 a.m.