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Calculate the range of a strided array according to a mask.
The range is defined as the difference between the maximum and minimum values.
import mskrange from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-mskrange@deno/mod.js';
Computes the range of a strided array x
according to a mask
.
var x = [ 1.0, -2.0, 4.0, 2.0 ];
var mask = [ 0, 0, 1, 0 ];
var v = mskrange( x.length, x, 1, mask, 1 );
// returns 4.0
The function has the following parameters:
- N: number of indexed elements.
- x: input
Array
ortyped array
. - strideX: index increment for
x
. - mask: mask
Array
ortyped array
. If amask
array element is0
, the corresponding element inx
is considered valid and included in computation. If amask
array element is1
, the corresponding element inx
is considered invalid/missing and excluded from computation. - strideMask: index increment for
mask
.
The N
and stride
parameters determine which elements are accessed at runtime. For example, to compute the range of every other element in x
,
import floor from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-floor@deno/mod.js';
var x = [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, 5.0, 6.0 ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
var N = floor( x.length / 2 );
var v = mskrange( N, x, 2, mask, 2 );
// returns 11.0
Note that indexing is relative to the first index. To introduce offsets, use typed array
views.
import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';
import Uint8Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-uint8@deno/mod.js';
import floor from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-floor@deno/mod.js';
var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var N = floor( x0.length / 2 );
var v = mskrange( N, x1, 2, mask1, 2 );
// returns 6.0
Computes the range of a strided array according to a mask
and using alternative indexing semantics.
var x = [ 1.0, -2.0, 4.0, 2.0 ];
var mask = [ 0, 0, 1, 0 ];
var v = mskrange.ndarray( x.length, x, 1, 0, mask, 1, 0 );
// returns 4.0
The function has the following additional parameters:
- offsetX: starting index for
x
. - offsetMask: starting index for
mask
.
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 calculate the range for every other value in x
starting from the second value
import floor from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-floor@deno/mod.js';
var x = [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ];
var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ];
var N = floor( x.length / 2 );
var v = mskrange.ndarray( N, x, 2, 1, mask, 2, 1 );
// returns 6.0
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@deno/mod.js';
import round from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-round@deno/mod.js';
import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';
import Uint8Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-uint8@deno/mod.js';
import mskrange from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-mskrange@deno/mod.js';
var mask;
var x;
var i;
x = new Float64Array( 10 );
mask = new Uint8Array( x.length );
for ( i = 0; i < x.length; i++ ) {
if ( randu() < 0.2 ) {
mask[ i ] = 1;
} else {
mask[ i ] = 0;
}
x[ i ] = round( (randu()*100.0) - 50.0 );
}
console.log( x );
console.log( mask );
var v = mskrange( x.length, x, 1, mask, 1 );
console.log( v );
@stdlib/stats-base/dmskrange
: calculate the range of a double-precision floating-point strided array according to a mask.@stdlib/stats-base/range
: calculate the range of a strided array.@stdlib/stats-base/mskmax
: calculate the maximum value of a strided array according to a mask.@stdlib/stats-base/mskmin
: calculate the minimum value of a strided array according to a mask.@stdlib/stats-base/nanrange
: calculate the range of a strided array, ignoring NaN values.@stdlib/stats-base/smskrange
: calculate the range of a single-precision floating-point strided array according to a mask.
This package is part of stdlib, a standard library 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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