Compute the range of absolute values along one or more ndarray dimensions.
The range is defined as the difference between the maximum and minimum values.
var rangeabs = require( '@stdlib/stats/rangeabs' );Computes the range of absolute values along one or more ndarray dimensions.
var array = require( '@stdlib/ndarray/array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = rangeabs( x );
// returns <ndarray>[ 2.0 ]The function has the following parameters:
- x: input ndarray. Must have a real-valued or "generic" data type.
- options: function options (optional).
The function accepts the following options:
- dims: list of dimensions over which to perform a reduction. If not provided, the function performs a reduction over all elements in a provided input ndarray.
- dtype: output ndarray data type. Must be a real-valued or "generic" data type.
- keepdims: boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions. Default:
false.
By default, the function performs a reduction over all elements in a provided input ndarray. To perform a reduction over specific dimensions, provide a dims option.
var array = require( '@stdlib/ndarray/array' );
var x = array( [ -1.0, 2.0, -3.0, 4.0 ], {
'shape': [ 2, 2 ],
'order': 'row-major'
});
// returns <ndarray>[ [ -1.0, 2.0 ], [ -3.0, 4.0 ] ]
var y = rangeabs( x, {
'dims': [ 0 ]
});
// returns <ndarray>[ 2.0, 2.0 ]
y = rangeabs( x, {
'dims': [ 1 ]
});
// returns <ndarray>[ 1.0, 1.0 ]
y = rangeabs( x, {
'dims': [ 0, 1 ]
});
// returns <ndarray>[ 3.0 ]By default, the function excludes reduced dimensions from the output ndarray. To include the reduced dimensions as singleton dimensions, set the keepdims option to true.
var array = require( '@stdlib/ndarray/array' );
var x = array( [ -1.0, 2.0, -3.0, 4.0 ], {
'shape': [ 2, 2 ],
'order': 'row-major'
});
// returns <ndarray>[ [ -1.0, 2.0 ], [ -3.0, 4.0 ] ]
var y = rangeabs( x, {
'dims': [ 0 ],
'keepdims': true
});
// returns <ndarray>[ [ 2.0, 2.0 ] ]
y = rangeabs( x, {
'dims': [ 1 ],
'keepdims': true
});
// returns <ndarray>[ [ 1.0 ], [ 1.0 ] ]
y = rangeabs( x, {
'dims': [ 0, 1 ],
'keepdims': true
});
// returns <ndarray>[ [ 3.0 ] ]By default, the function returns an ndarray having a data type determined by the function's output data type policy. To override the default behavior, set the dtype option.
var getDType = require( '@stdlib/ndarray/dtype' );
var array = require( '@stdlib/ndarray/array' );
var x = array( [ -1.0, 2.0, -3.0 ], {
'dtype': 'generic'
});
var y = rangeabs( x, {
'dtype': 'float64'
});
// returns <ndarray>[ 2.0 ]
var dt = String( getDType( y ) );
// returns 'float64'Computes the range of absolute values along one or more ndarray dimensions and assigns results to a provided output ndarray.
var array = require( '@stdlib/ndarray/array' );
var zeros = require( '@stdlib/ndarray/zeros' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = zeros( [] );
var out = rangeabs.assign( x, y );
// returns <ndarray>[ 2.0 ]
var bool = ( out === y );
// returns trueThe method has the following parameters:
- x: input ndarray. Must have a real-valued or "generic" data type.
- out: output ndarray.
- options: function options (optional).
The method accepts the following options:
- dims: list of dimensions over which to perform a reduction. If not provided, the function performs a reduction over all elements in a provided input ndarray.
- Setting the
keepdimsoption totruecan be useful when wanting to ensure that the output ndarray is broadcast-compatible with ndarrays having the same shape as the input ndarray. - The output data type policy only applies to the main function and specifies that, by default, the function must return an ndarray having the same data type as the input ndarray. For the
assignmethod, the output ndarray is allowed to have any supported output data type.
var uniform = require( '@stdlib/random/uniform' );
var getDType = require( '@stdlib/ndarray/dtype' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var rangeabs = require( '@stdlib/stats/rangeabs' );
// Generate an array of random numbers:
var x = uniform( [ 5, 5 ], 0.0, 20.0 );
console.log( ndarray2array( x ) );
// Perform a reduction:
var y = rangeabs( x, {
'dims': [ 0 ]
});
// Resolve the output array data type:
var dt = getDType( y );
console.log( dt );
// Print the results:
console.log( ndarray2array( y ) );