Create a new struct constructor tailored to a specified floating-point data type.
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> Create a new [struct][@stdlib/dstructs/struct] constructor tailored to a specified floating-point data type.
``bash`
npm install @stdlib/stats-base-ztest-two-sample-results-struct-factory
`javascript`
var structFactory = require( '@stdlib/stats-base-ztest-two-sample-results-struct-factory' );
#### structFactory( dtype )
Returns a new [struct][@stdlib/dstructs/struct] constructor tailored to a specified floating-point data type.
`javascript
var Struct = structFactory( 'float64' );
// returns
var s = new Struct();
// returns
`
The function supports the following parameters:
- dtype: floating-point data type for storing floating-point results. Must be either 'float64' or 'float32'.
- A [struct][@stdlib/dstructs/struct] provides a fixed-width composite data structure for storing two-sample Z-test results and provides an ABI-stable data layout for JavaScript-C interoperation.
`javascript
var resolveEnum = require( '@stdlib/stats-base-ztest-alternative-resolve-enum' );
var Float64Array = require( '@stdlib/array-float64' );
var Float32Array = require( '@stdlib/array-float32' );
var structFactory = require( '@stdlib/stats-base-ztest-two-sample-results-struct-factory' );
var Struct = structFactory( 'float64' );
var results = new Struct({
'rejected': true,
'alpha': 0.05,
'pValue': 0.0132,
'statistic': 2.4773,
'nullValue': 0.0,
'xmean': 3.7561,
'ymean': 3.0129,
'ci': new Float64Array( [ 0.1552, 1.3311 ] ),
'alternative': resolveEnum( 'two-sided' )
});
var str = results.toString({
'format': 'linear'
});
console.log( str );
Struct = structFactory( 'float32' );
results = new Struct({
'rejected': true,
'alpha': 0.05,
'pValue': 0.0132,
'statistic': 2.4773,
'nullValue': 0.0,
'xmean': 3.7561,
'ymean': 3.0129,
'ci': new Float32Array( [ 0.1552, 1.3311 ] ),
'alternative': resolveEnum( 'two-sided' )
});
str = results.toString({
'format': 'linear'
});
console.log( str );
`
*
This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, 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][stdlib], see the main project [repository][stdlib].
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---
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