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@stdlib/stats-base-min-by

v0.2.1

Published

Calculate the minimum value of a strided array via a callback function.

Downloads

119

Readme

minBy

NPM version Build Status Coverage Status

Calculate the minimum value of a strided array via a callback function.

Installation

npm install @stdlib/stats-base-min-by

Usage

var minBy = require( '@stdlib/stats-base-min-by' );

minBy( N, x, stride, clbk[, thisArg] )

Calculates the minimum value of strided array x via a callback function.

function accessor( v ) {
    return v * 2.0;
}

var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];

var v = minBy( x.length, x, 1, accessor );
// returns -10.0

The function has the following parameters:

  • N: number of indexed elements.
  • x: input Array, typed array, or an array-like object (excluding strings and functions).
  • stride: index increment.
  • clbk: callback function.
  • thisArg: execution context (optional).

The invoked callback is provided four arguments:

  • value: array element.
  • aidx: array index.
  • sidx: strided index (offset + aidx*stride).
  • array: input array/collection.

To set the callback execution context, provide a thisArg.

function accessor( v ) {
    this.count += 1;
    return v * 2.0;
}

var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];

var context = {
    'count': 0
};

var v = minBy( x.length, x, 1, accessor, context );
// returns -10.0

var cnt = context.count;
// returns 8

The N and stride parameters determine which elements in x are accessed at runtime. For example, to access every other element

var floor = require( '@stdlib/math-base-special-floor' );

function accessor( v ) {
    return v * 2.0;
}

var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];
var N = floor( x.length / 2 );

var v = minBy( N, x, 2, accessor );
// returns -4.0

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Float64Array = require( '@stdlib/array-float64' );
var floor = require( '@stdlib/math-base-special-floor' );

function accessor( v ) {
    return v * 2.0;
}

// Initial array...
var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );

// Create an offset view...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var N = floor( x0.length/2 );

// Access every other element...
var v = minBy( N, x1, 2, accessor );
// returns -12.0

minBy.ndarray( N, x, stride, offset, clbk[, thisArg] )

Calculates the minimum value of strided array x via a callback function and using alternative indexing semantics.

function accessor( v ) {
    return v * 2.0;
}

var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ];

var v = minBy.ndarray( x.length, x, 1, 0, accessor );
// returns -10.0

The function has the following additional parameters:

  • offset: starting index.

While typed array views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to access only the last three elements of x

function accessor( v ) {
    return v * 2.0;
}

var x = [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ];

var v = minBy.ndarray( 3, x, 1, x.length-3, accessor );
// returns -12.0

Notes

  • If N <= 0, both functions return NaN.
  • A provided callback function should return a numeric value.
  • If a provided callback function does not return any value (or equivalently, explicitly returns undefined), the value is ignored.
  • When possible, prefer using dmin, smin, and/or min, as, depending on the environment, these interfaces are likely to be significantly more performant.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filledarrayBy = require( '@stdlib/array-filled-by' );
var minBy = require( '@stdlib/stats-base-min-by' );

function accessor( v ) {
    return v * 2.0;
}

var x = filledarrayBy( 10, 'float64', discreteUniform( -50, 50 ) );
console.log( x );

var v = minBy( x.length, x, 1, accessor );
console.log( v );

See Also


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.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.