# Cumulative Distribution Function

Uniform distribution cumulative distribution function.

The cumulative distribution function for a continuous uniform random variable is

where a is the minimum support and b is the maximum support. The parameters must satisfy a < b.

## Usage

var cdf = require( '@stdlib/stats/base/dists/uniform/cdf' );


#### cdf( x, a, b )

Evaluates the cumulative distribution function (CDF) for a uniform distribution with parameters a (minimum support) and b (maximum support).

var y = cdf( 9.0, 0.0, 10.0 );
// returns 0.9

y = cdf( 0.5, 0.0, 2.0 );
// returns 0.25

y = cdf( -Infinity, 2.0, 4.0 );
// returns 0.0

y = cdf( +Infinity, 2.0, 4.0 );
// returns 1.0


If provided NaN as any argument, the function returns NaN.

var y = cdf( NaN, 0.0, 1.0 );
// returns NaN

y = cdf( 0.0, NaN, 1.0 );
// returns NaN

y = cdf( 0.0, 0.0, NaN );
// returns NaN


If provided a >= b, the function returns NaN.

var y = cdf( 1.0, 2.5, 2.0 );
// returns NaN


#### cdf.factory( a, b )

Returns a function for evaluating the cumulative distribution function of a uniform distribution with parameters a (minimum support) and b (maximum support).

var mycdf = cdf.factory( 0.0, 10.0 );
var y = mycdf( 0.5 );
// returns 0.05

y = mycdf( 8.0 );
// returns 0.8


## Examples

var randu = require( '@stdlib/random/base/randu' );
var cdf = require( '@stdlib/stats/base/dists/uniform/cdf' );

var a;
var b;
var x;
var y;
var i;

for ( i = 0; i < 25; i++ ) {
x = (randu() * 20.0) - 10.0;
a = (randu() * 20.0) - 20.0;
b = a + (randu() * 40.0);
y = cdf( x, a, b );
console.log( 'x: %d, a: %d, b: %d, F(x;a,b): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}