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    @stdlib/stats-base-nanmax-by
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    0.0.9 • Public • Published

    nanmaxBy

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    Calculate the maximum value of a strided array via a callback function, ignoring NaN values.

    Installation

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

    Usage

    var nanmaxBy = require( '@stdlib/stats-base-nanmax-by' );

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

    Calculates the maximum value of strided array x via a callback function, ignoring NaN values.

    function accessor( v ) {
        return v * 2.0;
    }
    
    var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, NaN, 0.0, -1.0, -3.0, NaN ];
    
    var v = nanmaxBy( x.length, x, 1, accessor );
    // returns 8.0

    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, NaN, 0.0, -1.0, -3.0, NaN ];
    
    var context = {
        'count': 0
    };
    
    var v = nanmaxBy( x.length, x, 1, accessor, context );
    // returns 8.0
    
    var cnt = context.count;
    // returns 10

    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, NaN, NaN ];
    var N = floor( x.length / 2 );
    
    var v = nanmaxBy( N, x, 2, accessor );
    // returns 8.0

    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 = nanmaxBy( N, x1, 2, accessor );
    // returns -4.0

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

    Calculates the maximum value of strided array x via a callback function, ignoring NaN values and using alternative indexing semantics.

    function accessor( v ) {
        return v * 2.0;
    }
    
    var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, NaN, 0.0, -1.0, -3.0, NaN ];
    
    var v = nanmaxBy.ndarray( x.length, x, 1, 0, accessor );
    // returns 8.0

    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 = nanmaxBy.ndarray( 3, x, 1, x.length-3, accessor );
    // returns 10.0

    Notes

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

    Examples

    var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
    var randu = require( '@stdlib/random-base-randu' );
    var filledarrayBy = require( '@stdlib/array-filled-by' );
    var nanmaxBy = require( '@stdlib/stats-base-nanmax-by' );
    
    function fill() {
        if ( randu() < 0.2 ) {
            return NaN;
        }
        return discreteUniform( -50, 50 );
    }
    
    function accessor( v ) {
        return v * 2.0;
    }
    
    var x = filledarrayBy( 10, 'float64', fill );
    console.log( x );
    
    var v = nanmaxBy( 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 © 2016-2022. The Stdlib Authors.

    Install

    npm i @stdlib/stats-base-nanmax-by

    Homepage

    stdlib.io

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    31

    Version

    0.0.9

    License

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    Unpacked Size

    46.2 kB

    Total Files

    11

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    Collaborators

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