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Fill a strided array with pseudorandom numbers drawn from a chi-square distribution.
npm install @stdlib/random-strided-chisquare
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 chisquare = require( '@stdlib/random-strided-chisquare' );
Fills a strided array with pseudorandom numbers drawn from a chi-square distribution.
var Float64Array = require( '@stdlib/array-float64' );
// Create an array:
var out = new Float64Array( 10 );
// Fill the array with pseudorandom numbers:
chisquare( out.length, [ 2.0 ], 0, out, 1 );
The function has the following parameters:
- N: number of indexed elements.
- k: rate parameter.
- sk: index increment for
k
. - out: output array.
- so: index increment for
out
.
The N
and stride parameters determine which strided array elements are accessed at runtime. For example, to access every other value in out
,
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
chisquare( 3, [ 2.0 ], 0, out, 2 );
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
var Float64Array = require( '@stdlib/array-float64' );
// Initial array:
var k0 = new Float64Array( [ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ] );
// Create offset view:
var k1 = new Float64Array( k0.buffer, k0.BYTES_PER_ELEMENT*3 ); // start at 4th element
// Create an output array:
var out = new Float64Array( 3 );
// Fill the output array:
chisquare( out.length, k1, -1, out, 1 );
Fills a strided array with pseudorandom numbers drawn from a chi-square distribution using alternative indexing semantics.
var Float64Array = require( '@stdlib/array-float64' );
// Create an array:
var out = new Float64Array( 10 );
// Fill the array with pseudorandom numbers:
chisquare.ndarray( out.length, [ 2.0 ], 0, 0, out, 1, 0 );
The function has the following additional parameters:
- ok: starting index for
k
. - oo: starting index for
out
.
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 access every other value in out
starting from the second value,
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
chisquare.ndarray( 3, [ 2.0 ], 0, 0, out, 2, 1 );
Returns a function for filling strided arrays with pseudorandom numbers drawn from a chi-square distribution.
var Float64Array = require( '@stdlib/array-float64' );
var random = chisquare.factory();
// returns <Function>
// Create an array:
var out = new Float64Array( 10 );
// Fill the array with pseudorandom numbers:
random( out.length, [ 2.0 ], 0, out, 1 );
The function accepts the following options
:
- prng: pseudorandom number generator for generating uniformly distributed pseudorandom numbers on the interval
[0,1)
. If provided, the function ignores both thestate
andseed
options. In order to seed the underlying pseudorandom number generator, one must seed the providedprng
(assuming the providedprng
is seedable). - seed: pseudorandom number generator seed.
- state: a
Uint32Array
containing pseudorandom number generator state. If provided, the function ignores theseed
option. - copy:
boolean
indicating whether to copy a provided pseudorandom number generator state. Setting this option tofalse
allows sharing state between two or more pseudorandom number generators. Setting this option totrue
ensures that an underlying generator has exclusive control over its internal state. Default:true
.
To use a custom PRNG as the underlying source of uniformly distributed pseudorandom numbers, set the prng
option.
var Float64Array = require( '@stdlib/array-float64' );
var minstd = require( '@stdlib/random-base-minstd' );
var opts = {
'prng': minstd.normalized
};
var random = chisquare.factory( opts );
var out = new Float64Array( 10 );
random( out.length, [ 2.0 ], 0, out, 1 );
To seed the underlying pseudorandom number generator, set the seed
option.
var Float64Array = require( '@stdlib/array-float64' );
var opts = {
'seed': 12345
};
var random = chisquare.factory( opts );
var out = new Float64Array( 10 );
random( out.length, [ 2.0 ], 0, out, 1 );
The underlying pseudorandom number generator.
var prng = chisquare.PRNG;
// returns <Function>
The value used to seed the underlying pseudorandom number generator.
var seed = chisquare.seed;
// returns <Uint32Array>
If the factory
method is provided a PRNG for uniformly distributed numbers, the associated property value on the returned function is null
.
var minstd = require( '@stdlib/random-base-minstd-shuffle' ).normalized;
var random = chisquare.factory({
'prng': minstd
});
// returns <Function>
var seed = random.seed;
// returns null
Length of underlying pseudorandom number generator seed.
var len = chisquare.seedLength;
// returns <number>
If the factory
method is provided a PRNG for uniformly distributed numbers, the associated property value on the returned function is null
.
var minstd = require( '@stdlib/random-base-minstd-shuffle' ).normalized;
var random = chisquare.factory({
'prng': minstd
});
// returns <Function>
var len = random.seedLength;
// returns null
Writable property for getting and setting the underlying pseudorandom number generator state.
var state = chisquare.state;
// returns <Uint32Array>
If the factory
method is provided a PRNG for uniformly distributed numbers, the associated property value on the returned function is null
.
var minstd = require( '@stdlib/random-base-minstd-shuffle' ).normalized;
var random = chisquare.factory({
'prng': minstd
});
// returns <Function>
var state = random.state;
// returns null
Length of underlying pseudorandom number generator state.
var len = chisquare.stateLength;
// returns <number>
If the factory
method is provided a PRNG for uniformly distributed numbers, the associated property value on the returned function is null
.
var minstd = require( '@stdlib/random-base-minstd-shuffle' ).normalized;
var random = chisquare.factory({
'prng': minstd
});
// returns <Function>
var len = random.stateLength;
// returns null
Size (in bytes) of underlying pseudorandom number generator state.
var sz = chisquare.byteLength;
// returns <number>
If the factory
method is provided a PRNG for uniformly distributed numbers, the associated property value on the returned function is null
.
var minstd = require( '@stdlib/random-base-minstd-shuffle' ).normalized;
var random = chisquare.factory({
'prng': minstd
});
// returns <Function>
var sz = random.byteLength;
// returns null
- If
N <= 0
, bothchisquare
andchisquare.ndarray
leave the output array unchanged. - Both
chisquare
andchisquare.ndarray
support array-like objects having getter and setter accessors for array element access.
var zeros = require( '@stdlib/array-zeros' );
var zeroTo = require( '@stdlib/array-zero-to' );
var logEach = require( '@stdlib/console-log-each' );
var chisquare = require( '@stdlib/random-strided-chisquare' );
// Specify a PRNG seed:
var opts = {
'seed': 1234
};
// Create a seeded PRNG:
var rand1 = chisquare.factory( opts );
// Create an array:
var x1 = zeros( 10, 'float64' );
// Fill the array with pseudorandom numbers:
rand1( x1.length, [ 2.0 ], 0, x1, 1 );
// Create another function for filling strided arrays:
var rand2 = chisquare.factory( opts );
// returns <Function>
// Create a second array:
var x2 = zeros( 10, 'generic' );
// Fill the array with the same pseudorandom numbers:
rand2( x2.length, [ 2.0 ], 0, x2, 1 );
// Create a list of indices:
var idx = zeroTo( x1.length, 'generic' );
// Print the array contents:
logEach( 'x1[%d] = %.2f; x2[%d] = %.2f', idx, x1, idx, x2 );
@stdlib/random-base/chisquare
: Chi-square distributed pseudorandom numbers.@stdlib/random-array/chisquare
: create an array containing pseudorandom numbers drawn from a chi-square distribution.
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