check

Author: jalajk3004

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

@@ -151,10 +151,10 @@ accumulator = incrnanskewness();
 // For each simulated datum, update the corrected sample skewness...
 for ( i = 0; i < 100; i++ ) {
     if ( randu() < 0.2 ) {
-		v = NaN;
-	} else {
-		v = randu() * 100.0;
-	}
+        v = NaN;
+    } else {
+        v = randu() * 100.0;
+    }
     accumulator( v );
 }
 console.log( accumulator() );

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

@@ -39,7 +39,7 @@ for ( i = 0; i < 100; i++ ) {
 		v = randu() * 100.0;
 	}
 	skewness = accumulator( v );
-	if ( i < 2 ) {
+	if ( i < 2 || skewness === null ) {
 		console.log( '%d\t%s', v.toFixed( 4 ), skewness );
 	} else {
 		console.log( '%d\t%d', v.toFixed( 4 ), skewness.toFixed( 4 ) );

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

@@ -21,7 +21,7 @@
 /**
 * Compute a corrected sample skewness incrementally, ignoring `NaN` values.
 *
-* @module @stdlib/stats/incr/skewness
+* @module @stdlib/stats/incr/nanskewness
 *
 * @example
 * var incrnanskewness = require( '@stdlib/stats/incr/nanskewness' );

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

@@ -1,9 +1,29 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
 'use strict';
 
 // MODULES //
+
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var incrskewness = require( '@stdlib/stats/incr/skewness' );
 
+
 // MAIN //
 /**
 * Returns an accumulator function which incrementally computes a corrected sample skewness, **ignoring NaN values**.
@@ -52,5 +72,7 @@ function incrnanskewness() {
     };
 }
 
+
 // EXPORTS //
+
 module.exports = incrnanskewness;

lib/node_modules/@stdlib/stats/incr/nanskewness/package.json

@@ -63,4 +63,3 @@
     "accumulator"
   ]
 }
-  

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

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2018 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -55,10 +55,10 @@ tape( 'the accumulator function incrementally computes a corrected sample skewne
 	expected = [
 		null,
 		null,
-        null,
+		null,
 		1.457862967321305,
 		0.4366620845757488,
-        0.4366620845757488,
+		0.4366620845757488,
 		0.1171875
 	];
 
@@ -108,13 +108,13 @@ tape( 'the corrected sample skewness is `null` until at least 3 datums have been
 	t.equal( skewness, null, 'returns null' );
 
     skewness = acc( NaN );
-    t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns null' );
 
 	skewness = acc( 2.0 );
 	t.equal( skewness, null, 'returns null' );
 
     skewness = acc( NaN );
-    t.equal( skewness, null, 'returns null' );
+	t.equal( skewness, null, 'returns null' );
 
 	skewness = acc( 3.0 );
 	t.equal( skewness, null, 'returns null' );