Quantile Function

Raised cosine distribution quantile function.

Installation

npm install @stdlib/stats-base-dists-cosine-quantile

Usage

var quantile = require( '@stdlib/stats-base-dists-cosine-quantile' );

quantile( p, mu, s )

Evaluates the quantile function for a raised cosine distribution with parameters mu (location parameter) and s (scale parameter).

var y = quantile( 0.5, 0.0, 1.0 );
// returns ~0.0

y = quantile( 0.2, 4.0, 2.0 );
// returns ~3.345

If provided a probability p outside the interval [0,1], the function returns NaN.

var y = quantile( 1.9, 0.0, 1.0 );
// returns NaN

y = quantile( -0.1, 0.0, 1.0 );
// returns NaN

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

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

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

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

If provided s < 0, the function returns NaN.

var y = quantile( 0.4, 0.0, -1.0 );
// returns NaN

If provided s = 0, the function evaluates the quantile function of a degenerate distribution centered at mu.

var y = quantile( 0.3, 8.0, 0.0 );
// returns 8.0

y = quantile( 0.9, 8.0, 0.0 );
// returns 8.0

quantile.factory( mu, s )

Returns a function for evaluating the quantile function of a raised cosine distribution with parameters mu and s.

var myQuantile = quantile.factory( 10.0, 2.0 );

var y = myQuantile( 0.2 );
// returns ~9.345

y = myQuantile( 0.9 );
// returns ~10.964

Examples

var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var quantile = require( '@stdlib/stats-base-dists-cosine-quantile' );

var opts = {
    'dtype': 'float64'
};
var p = uniform( 10, 0.0, 1.0, opts );
var mu = uniform( 10, 0.0, 10.0, opts );
var s = uniform( 10, 0.0, 10.0, opts );

logEachMap( 'p: %0.4f, µ: %0.4f, s: %0.4f, Q(p;µ,s): %0.4f', p, mu, s, quantile );

C APIs

Usage

#include "stdlib/stats/base/dists/cosine/quantile.h"

stdlib_base_dists_cosine_quantile( p, mu, s )

Evaluates the quantile function for a raised cosine distribution with parameters mu (location parameter) and s (scale parameter).

double out = stdlib_base_dists_cosine_quantile( 0.8, 0.0, 1.0 );
// returns ~0.327

The function accepts the following arguments:

• p: [in] double input value.
• mu: [in] double location parameter.
• s: [in] double scale parameter.

double stdlib_base_dists_cosine_quantile( const double p, const double mu, const double s );

Examples

#include "stdlib/stats/base/dists/cosine/quantile.h"
#include "stdlib/constants/float64/eps.h"
#include <stdlib.h>
#include <stdio.h>

static double random_uniform( const double min, const double max ) {
    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
    return min + ( v*(max-min) );
}

int main( void ) {
    double mu;
    double s;
    double p;
    double y;
    int i;

    for ( i = 0; i < 10; i++ ) {
        p = random_uniform( 0.0, 1.0 );
        mu = random_uniform( -50.0, 50.0 );
        s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
        y = stdlib_base_dists_cosine_quantile( p, mu, s );
        printf( "p: %.4f, µ: %.4f, s: %.4f, Q(p;µ,s): %.4f\n", p, mu, s, y );
    }

    return 0;
}

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.