Calculate the maximum value of a strided array according to a mask.
var mskmax = require( '@stdlib/stats/strided/mskmax' );Computes the maximum value of a strided array according to a mask.
var x = [ 1.0, -2.0, 4.0, 2.0 ];
var mask = [ 0, 0, 1, 0 ];
var v = mskmax( x.length, x, 1, mask, 1 );
// returns 2.0The function has the following parameters:
- N: number of indexed elements.
- x: input
Arrayortyped array. - strideX: stride length for
x. - mask: mask
Arrayortyped array. If amaskarray element is0, the corresponding element inxis considered valid and included in computation. If amaskarray element is1, the corresponding element inxis considered invalid/missing and excluded from computation. - strideMask: stride length for
mask.
The N and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the maximum value of every other element in x,
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 v = mskmax( 4, x, 2, mask, 2 );
// returns 4.0Note that indexing is relative to the first index. To introduce offsets, use typed array views.
var Float64Array = require( '@stdlib/array/float64' );
var Uint8Array = require( '@stdlib/array/uint8' );
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 v = mskmax( 4, x1, 2, mask1, 2 );
// returns 4.0Computes the maximum value 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 = mskmax.ndarray( x.length, x, 1, 0, mask, 1, 0 );
// returns 2.0The 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 parameters support indexing semantics based on starting indices. For example, to calculate the maximum value for every other value in x starting from the second value
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 v = mskmax.ndarray( 4, x, 2, 1, mask, 2, 1 );
// returns 4.0- If
N <= 0, both functions returnNaN. - Depending on the environment, the typed versions (
dmskmax,smskmax, etc.) are likely to be significantly more performant. - Both functions support array-like objects having getter and setter accessors for array element access (e.g.,
@stdlib/array/base/accessor).
var uniform = require( '@stdlib/random/array/uniform' );
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var mskmax = require( '@stdlib/stats/strided/mskmax' );
var x = uniform( 10, -50.0, 50.0, {
'dtype': 'float64'
});
console.log( x );
var mask = bernoulli( x.length, 0.2, {
'dtype': 'uint8'
});
console.log( mask );
var v = mskmax( x.length, x, 1, mask, 1 );
console.log( v );@stdlib/stats/strided/dmskmax: calculate the maximum value of a double-precision floating-point strided array according to a mask.@stdlib/stats/strided/max: calculate the maximum value of a strided array.@stdlib/stats/strided/mskmin: calculate the minimum value of a strided array according to a mask.@stdlib/stats/strided/nanmax: calculate the maximum value of a strided array, ignoring NaN values.@stdlib/stats/strided/smskmax: calculate the maximum value of a single-precision floating-point strided array according to a mask.