Calculate the maximum absolute value of a strided array, ignoring
NaNvalues.
var nanmaxabs = require( '@stdlib/stats/strided/nanmaxabs' );Computes the maximum absolute value of a strided array, ignoring NaN values.
var x = [ 1.0, -2.0, NaN, 2.0 ];
var v = nanmaxabs( x.length, x, 1 );
// returns 2.0The function has the following parameters:
- N: number of indexed elements.
- x: input
Arrayortyped array. - strideX: stride length for
x.
The N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the maximum absolute value of every other element in x,
var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
var v = nanmaxabs( 5, x, 2 );
// returns 4.0Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Float64Array = require( '@stdlib/array/float64' );
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var v = nanmaxabs( 4, x1, 2 );
// returns 4.0Computes the maximum absolute value of a strided array, ignoring NaN values and using alternative indexing semantics.
var x = [ 1.0, -2.0, NaN, 2.0 ];
var v = nanmaxabs.ndarray( x.length, x, 1, 0 );
// returns 2.0The function has the following additional parameters:
- offsetX: starting index for
x.
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 maximum absolute value for every other element in x starting from the second element
var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 2.0, 3.0, 4.0 ];
var v = nanmaxabs.ndarray( 5, x, 2, 1 );
// returns 4.0- If
N <= 0, both functions returnNaN. - Both functions support array-like objects having getter and setter accessors for array element access (e.g.,
@stdlib/array/base/accessor). - Depending on the environment, the typed versions (
dnanmaxabs,snanmaxabs, etc.) are likely to be significantly more performant.
var uniform = require( '@stdlib/random/base/uniform' );
var filledarrayBy = require( '@stdlib/array/filled-by' );
var bernoulli = require( '@stdlib/random/base/bernoulli' );
var nanmaxabs = require( '@stdlib/stats/strided/nanmaxabs' );
function rand() {
if ( bernoulli( 0.8 ) < 1 ) {
return NaN;
}
return uniform( -50.0, 50.0 );
}
var x = filledarrayBy( 10, 'float64', rand );
console.log( x );
var v = nanmaxabs( x.length, x, 1 );
console.log( v );@stdlib/stats/strided/dnanmaxabs: calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.@stdlib/stats/strided/maxabs: calculate the maximum absolute value of a strided array.@stdlib/stats/strided/nanmax: calculate the maximum value of a strided array, ignoring NaN values.@stdlib/stats/strided/nanminabs: calculate the minimum absolute value of a strided array, ignoring NaN values.@stdlib/stats/strided/snanmaxabs: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.