chore: clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
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    status: passed
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  - task: lint_javascript_tests
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---

Author: kgryte

lib/node_modules/@stdlib/stats/incr/nanskewness/README.md

@@ -85,7 +85,7 @@ var incrnanskewness = require( '@stdlib/stats/incr/nanskewness' );
 
 #### incrnanskewness()
 
-Returns an accumulator `function` which incrementally computes a [corrected sample skewness][sample-skewness], ignoring `NaN` values.
+Returns an accumulator function which incrementally computes a [corrected sample skewness][sample-skewness], ignoring `NaN` values.
 
 ```javascript
 var accumulator = incrnanskewness();
@@ -110,10 +110,10 @@ skewness = accumulator( -5.0 );
 skewness = accumulator( -10.0 );
 // returns ~0.492
 
-skewness = accumulator();
+skewness = accumulator( NaN );
 // returns ~0.492
 
-skewness = accumulator(NaN);
+skewness = accumulator();
 // returns ~0.492
 ```
 
@@ -138,24 +138,17 @@ skewness = accumulator(NaN);
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var incrnanskewness = require( '@stdlib/stats/incr/nanskewness' );
 
-var accumulator;
-var v;
-var i;
-
 // Initialize an accumulator:
-accumulator = incrnanskewness();
+var accumulator = incrnanskewness();
 
 // For each simulated datum, update the corrected sample skewness...
+var i;
 for ( i = 0; i < 100; i++ ) {
-    if ( randu() < 0.2 ) {
-        v = NaN;
-    } else {
-        v = randu() * 100.0;
-    }
-    accumulator( v );
+    accumulator( ( bernoulli( 0.8 ) < 1 ) ? NaN : uniform( 0.0, 100.0 ) );
 }
 console.log( accumulator() );
 ```
@@ -164,8 +157,6 @@ console.log( accumulator() );
 
 <!-- /.examples -->
 
-* * *
-
 <section class="references">
 
 </section>
@@ -176,16 +167,6 @@ console.log( accumulator() );
 
 <section class="related">
 
-* * *
-
-## See Also
-
--   <span class="package-name">[`@stdlib/stats/incr/kurtosis`][@stdlib/stats/incr/kurtosis]</span><span class="delimiter">: </span><span class="description">compute a corrected sample excess kurtosis incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/mean`][@stdlib/stats/incr/mean]</span><span class="delimiter">: </span><span class="description">compute an arithmetic mean incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/stdev`][@stdlib/stats/incr/stdev]</span><span class="delimiter">: </span><span class="description">compute a corrected sample standard deviation incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/summary`][@stdlib/stats/incr/summary]</span><span class="delimiter">: </span><span class="description">compute a statistical summary incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/variance`][@stdlib/stats/incr/variance]</span><span class="delimiter">: </span><span class="description">compute an unbiased sample variance incrementally.</span>
-
 </section>
 
 <!-- /.related -->
@@ -196,20 +177,6 @@ console.log( accumulator() );
 
 [sample-skewness]: https://en.wikipedia.org/wiki/Skewness
 
-<!-- <related-links> -->
-
-[@stdlib/stats/incr/kurtosis]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/kurtosis
-
-[@stdlib/stats/incr/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/mean
-
-[@stdlib/stats/incr/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/stdev
-
-[@stdlib/stats/incr/summary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/summary
-
-[@stdlib/stats/incr/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/variance
-
-<!-- </related-links> -->
-
 </section>
 
 <!-- /.links -->

lib/node_modules/@stdlib/stats/incr/nanskewness/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}()
     Returns an accumulator function which incrementally computes a corrected
-    sample skewness, ingoring `NaN` values.
+    sample skewness, ignoring `NaN` values.
 
     If provided a value, the accumulator function returns an updated corrected
     sample skewness. If not provided a value, the accumulator function returns
@@ -14,16 +14,16 @@
 
     Examples
     --------
-    > var accumulator = {{alias}}();
-    > var v = accumulator( 2.0 )
+    > var acc = {{alias}}();
+    > var v = acc( 2.0 )
     null
-    > v = accumulator( -5.0 )
+    > v = acc( -5.0 )
     null
-    > v = accumulator( -10.0 )
+    > v = acc( -10.0 )
     ~0.492
-    > v = accumulator()
+    > v = acc( NaN )
     ~0.492
-    > v = accumulator(NaN)
+    > v = acc()
     ~0.492
 
     See Also

lib/node_modules/@stdlib/stats/incr/nanskewness/docs/types/index.d.ts

@@ -31,6 +31,10 @@ type accumulator = ( x?: number ) => number | null;
 /**
 * Returns an accumulator function which incrementally computes a corrected sample skewness, ignoring `NaN` values.
 *
+* ## Notes
+*
+* -   If provided a value, the accumulator function returns an updated corrected sample skewness. If not provided a value, the accumulator function returns the current corrected sample skewness.
+*
 * @returns accumulator function
 *
 * @example
@@ -48,10 +52,10 @@ type accumulator = ( x?: number ) => number | null;
 * skewness = accumulator( -10.0 );
 * // returns ~0.492
 *
-* skewness = accumulator();
+* skewness = accumulator( NaN );
 * // returns ~0.492
 *
-* skewness = accumulator(NaN);
+* skewness = accumulator();
 * // returns ~0.492
 */
 declare function incrnanskewness(): accumulator;

lib/node_modules/@stdlib/stats/incr/nanskewness/examples/index.js

@@ -18,31 +18,27 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var incrnanskewness = require( './../lib' );
 
-var accumulator;
-var skewness;
-var v;
-var i;
-
 // Initialize an accumulator:
-accumulator = incrnanskewness();
+var accumulator = incrnanskewness();
 
 // For each simulated datum, update the corrected sample skewness...
 console.log( '\nValue\tSkewness\n' );
 
+var skewness;
+var v;
+var i;
 for ( i = 0; i < 100; i++ ) {
-	if ( randu() < 0.2 ) {
-		v = NaN;
-	} else {
-		v = randu() * 100.0;
-	}
+	v = ( bernoulli( 0.8 ) < 1 ) ? NaN : uniform( 0.0, 100.0 );
 	skewness = accumulator( v );
 	if ( skewness === null ) {
 		console.log( '%d\t%s', v.toFixed( 4 ), skewness );
 	} else {
-		console.log( '%d\t%d', v.toFixed( 4 ), skewness.toFixed( 4 ) );
+		console.log( '%d\t%d', ( isnan( v ) ) ? NaN : v.toFixed( 4 ), skewness.toFixed( 4 ) );
 	}
 }
 console.log( '\nFinal skewness: %d\n', accumulator() );

lib/node_modules/@stdlib/stats/incr/nanskewness/lib/index.js

@@ -40,10 +40,10 @@
 * skewness = accumulator( -10.0 );
 * // returns ~0.492
 *
-* skewness = accumulator();
+* skewness = accumulator( NaN );
 * // returns ~0.492
 *
-* skewness = accumulator(NaN);
+* skewness = accumulator();
 * // returns ~0.492
 */
 

lib/node_modules/@stdlib/stats/incr/nanskewness/lib/main.js

@@ -32,7 +32,7 @@ var incrskewness = require( '@stdlib/stats/incr/skewness' );
 * @returns {Function} accumulator function
 *
 * @example
-* var accumulator = incrskewness();
+* var accumulator = incrnanskewness();
 *
 * var skewness = accumulator();
 * // returns null
@@ -46,6 +46,9 @@ var incrskewness = require( '@stdlib/stats/incr/skewness' );
 * skewness = accumulator( -10.0 );
 * // returns ~0.492
 *
+* skewness = accumulator( NaN );
+* // returns ~0.492
+*
 * skewness = accumulator();
 * // returns ~0.492
 */

lib/node_modules/@stdlib/stats/incr/nanskewness/test/test.js

@@ -104,19 +104,19 @@ tape( 'the corrected sample skewness is `null` until at least 3 datums have been
 	acc = incrnanskewness();
 
 	skewness = acc();
-	t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns expected value' );
 
 	skewness = acc( 2.0 );
-	t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns expected value' );
 
 	skewness = acc( 2.0 );
-	t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns expected value' );
 
 	skewness = acc( NaN );
-	t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns expected value' );
 
 	skewness = acc( 3.0 );
-	t.notEqual( skewness, null, 'does not return null' );
+	t.notEqual( skewness, null, 'returns expected value' );
 
 	t.end();
 });