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Calculate the minimum value of a strided array via a callback function, ignoring
NaN
values.
npm install @stdlib/stats-base-nanmin-by
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var nanminBy = require( '@stdlib/stats-base-nanmin-by' );
Calculates the minimum 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 = nanminBy( 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, NaN, 0.0, -1.0, -3.0, NaN ];
var context = {
'count': 0
};
var v = nanminBy( x.length, x, 1, accessor, context );
// returns -10.0
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 = nanminBy( 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 = nanminBy( N, x1, 2, accessor );
// returns -12.0
Calculates the minimum 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 = nanminBy.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 = nanminBy.ndarray( 3, x, 1, x.length-3, accessor );
// returns -12.0
- If
N <= 0
, both functions returnNaN
. - 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
dnanmin
,snanmin
, and/ornanmin
, as, depending on the environment, these interfaces are likely to be significantly more performant.
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var randu = require( '@stdlib/random-base-randu' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var nanminBy = require( '@stdlib/stats-base-nanmin-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 = nanminBy( x.length, x, 1, accessor );
console.log( v );
@stdlib/stats-base/dnanmin
: calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.@stdlib/stats-base/min-by
: calculate the minimum value of a strided array via a callback function.@stdlib/stats-base/nanmax-by
: calculate the maximum value of a strided array via a callback function, ignoring NaN values.@stdlib/stats-base/nanmin
: calculate the minimum value of a strided array, ignoring NaN values.@stdlib/stats-base/snanmin
: calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
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.
See LICENSE.
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