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chore: fix EditorConfig lint errors (issue #7576) #7595

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Jul 9, 2025
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chore: fix EditorConfig lint errors (issue #7576) #7595

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b2389b2
chore: fix EditorConfig lint errors (issue #7576)
shiv343 Jul 9, 2025
101ebcd
docs: update examples
kgryte Jul 9, 2025
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51 changes: 14 additions & 37 deletions lib/node_modules/@stdlib/stats/wilcoxon/README.md
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Expand Up @@ -186,7 +186,7 @@ table = out.print();
*/
```

By default, all zero-differences are discarded before calculating the ranks. Set `zeroMethod` to `pratt` when you wish differences of zero to be used in the rank calculation but then drop them or to `zsplit` when differences of zero are shall be used in the ranking procedure and the ranks then split between positive and negative ones.
By default, all zero-differences are discarded before calculating the ranks. Set `zeroMethod` to `pratt` when you wish differences of zero to be used in the rank calculation but then drop them or to `zsplit` when differences of zero are shall be used in the ranking procedure and the ranks then split between positive and negative ones.

```javascript
var arr = [ 0, 2, 3, -1, -4, 0, 0, 8, 9 ];
Expand Down Expand Up @@ -220,21 +220,14 @@ out = wilcoxon( arr, {
By default, the test uses the exact distribution of the rank statistic to calculate the critical values for the test in case of no ties and no zero-differences. Since it is more computationally efficient, starting with fifty observations a normal approximation is employed. If you would like the test to use the correct distribution even for larger samples, set the `exact` option to `true`.

```javascript
var normal = require( '@stdlib/random/base/normal' ).factory;
var rnorm;
var arr;
var out;
var i;
var normal = require( '@stdlib/random/array/normal' );

rnorm = normal( 0.0, 4.0, {
var rnorm = normal.factory( 0.0, 4.0, {
'seed': 100
});
arr = new Array( 100 );
for ( i = 0; i < arr.length; i++ ) {
arr[ i ] = rnorm();
}
var arr = rnorm( 100 );

out = wilcoxon( arr, {
var out = wilcoxon( arr, {
'exact': false
});
/* e.g., returns
Expand Down Expand Up @@ -264,21 +257,14 @@ out = wilcoxon( arr, {
By default, when using the normal approximation, the test uses a continuity correction, which adjusts the Wilcoxon rank statistic by `0.5` towards the mean. To disable this correction, set `correction` to `false`.

```javascript
var normal = require( '@stdlib/random/base/normal' ).factory;
var rnorm;
var arr;
var out;
var i;
var normal = require( '@stdlib/random/array/normal' );

rnorm = normal( 0.0, 4.0, {
var rnorm = normal.factory( 0.0, 4.0, {
'seed': 100
});
arr = new Array( 100 );
for ( i = 0; i < arr.length; i++ ) {
arr[ i ] = rnorm();
}
var arr = rnorm( 100 );

out = wilcoxon( arr, {
var out = wilcoxon( arr, {
'correction': false
});
/* e.g., returns
Expand Down Expand Up @@ -316,26 +302,17 @@ out = wilcoxon( arr, {
<!-- eslint no-undef: "error" -->

```javascript
var uniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
var uniform = require( '@stdlib/random/array/discrete-uniform' );
var wilcoxon = require( '@stdlib/stats/wilcoxon' );

var table;
var runif;
var arr;
var out;
var i;

runif = uniform( -50.0, 50.0, {
var runif = uniform.factory( -50.0, 50.0, {
'seed': 37827
});
arr = new Array( 100 );
for ( i = 0; i < arr.length; i++ ) {
arr[ i ] = runif();
}
var arr = runif( 100 );

// Test whether distribution is symmetric around zero:
out = wilcoxon( arr );
table = out.print();
var out = wilcoxon( arr );
var table = out.print();
/* e.g., returns
One-Sample Wilcoxon signed rank test

Expand Down