[Fixed lint issues]

Author: 23f3001304

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

@@ -67,33 +67,39 @@ var accumulator = incrnanmstdev( 3, 5.0 );
 
 #### accumulator( \[x] )
 
-If provided an input value `x`, the accumulator function returns an updated [corrected sample standard deviation][standard-deviation]. If not provided an input value `x`, the accumulator function returns the current [corrected sample standard deviation][standard-deviation]. If provided `NaN`, the accumulator function ignores the value and returns the current [corrected sample standard deviation][standard-deviation].
+If provided an input value `x`, the accumulator function returns an updated [corrected sample standard deviation][standard-deviation]. If not provided an input value `x`, the accumulator function returns the current [corrected sample standard deviation][standard-deviation]. If provided `NaN`, the accumulator function ignores the value and returns the current [corrected sample standard deviation][standard-deviation] without updating the window.
 
 ```javascript
 var accumulator = incrnanmstdev( 3 );
 
 var s = accumulator();
 // returns null
 
-// Fill the window...
+// Fill the window with non-NaN values...
 s = accumulator( 2.0 ); // [2.0]
 // returns 0.0
 
-s = accumulator( NaN ); // [2.0, NaN]
+s = accumulator( NaN ); // [2.0]
 // returns 0.0
 
-s = accumulator( 3.0 ); // [2.0, NaN, 3.0]
+s = accumulator( 3.0 ); // [2.0, 3.0]
 // returns ~0.7071
 
+s = accumulator( 5.0 ); // [2.0, 3.0, 5.0]
+// returns ~1.53
+
 // Window begins sliding...
-s = accumulator( -7.0 ); // [NaN, 3.0, -7.0]
-// returns ~7.07
+s = accumulator( -7.0 ); // [3.0, 5.0, -7.0]
+// returns ~6.43
+
+s = accumulator( NaN ); // [3.0, 5.0, -7.0]
+// returns ~6.43
 
-s = accumulator( -5.0 ); // [3.0, -7.0, -5.0]
-// returns ~5.29
+s = accumulator( -5.0 ); // [5.0, -7.0, -5.0]
+// returns ~6.43
 
 s = accumulator();
-// returns ~5.29
+// returns ~6.43
 ```
 
 </section>
@@ -104,7 +110,7 @@ s = accumulator();
 
 ## Notes
 
--   Input values are **not** type checked. If provided `NaN`, the value is ignored and the accumulator function returns the current [corrected sample standard deviation][standard-deviation]. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
+-   Input values are **not** type checked. If provided `NaN`, the value is ignored and the accumulator function returns the current [corrected sample standard deviation][standard-deviation] without updating the window. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
 -   As `W` values are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values (excluding NaN values).
 
 </section>
@@ -153,7 +159,7 @@ console.log( accumulator() );
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/incr/mstdev`][@stdlib/stats/incr/mstdev]</span><span class="delimiter">: </span><span class="description">compute a moving corrected sample standard deviation incrementally.</span>
--   <span class="package-name">[`@stdlib/stats/incr/nanmmean`][@stdlib/stats/incr/nanmmean]</span><span class="delimiter">: </span><span class="description">compute a moving arietic mean incrementally, iging NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/incr/mmean`][@stdlib/stats/incr/mmean]</span><span class="delimiter">: </span><span class="description">compute a moving arietic mean incrementally, iging NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/incr/msummary`][@stdlib/stats/incr/msummary]</span><span class="delimiter">: </span><span class="description">compute a moving statistical summary incrementally, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/incr/mvariance`][@stdlib/stats/incr/mvariance]</span><span class="delimiter">: </span><span class="description">compute a moving unbiased sample variance incrementally, ignoring NaN values.</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, ignoring NaN values.</span>

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

@@ -1,4 +1,5 @@
 {{alias}}( W[, mean] )
+
     Returns an accumulator function which incrementally computes a moving
     corrected sample standard deviation, ignoring NaN values.
 
@@ -10,9 +11,9 @@
     accumulator function returns the current moving corrected sample standard
     deviation.
 
-    As `W` values are needed to fill the window buffer, the first `W-1` returned
-    values are calculated from smaller sample sizes. Until the window is full,
-    each returned value is calculated from all provided values.
+    As `W` values are needed to fill the window buffer, the first `W-1`
+    returned values are calculated from smaller sample sizes. Until the window
+    is full, each returned value is calculated from all provided values.
 
     NaN values are ignored during computation. If provided NaN, the
     accumulator returns the current corrected sample standard deviation.
@@ -52,5 +53,4 @@
 
     See Also
     --------
-    @stdlib/stats/incr/mstdev, @stdlib/stats/incr/nanstdev, @stdlib/stats/incr/nanvariance
-
+    

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

@@ -37,7 +37,7 @@ type accumulator = ( x?: number ) => number | null;
 *
 * ## Notes
 *
-* -   The `W` parameter defines the number of values over which to compute the moving sum.
+* -   The `W` parameter defines the number of values over which to compute the moving corrected sample standard deviation.
 * -   As `W` values are needed to fill the window buffer, the first `W-1` returned values are calculated from smaller sample sizes. Until the window is full, each returned value is calculated from all provided values.
 * -   NaN values are ignored.
 *

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

@@ -32,7 +32,7 @@ accumulator = incrnanmstdev( 5 );
 // For each simulated datum, update the moving t-student standard deviation...
 console.log( '\nValue\tT-Student Stdev\n' );
 for ( i = 0; i < 100; i++ ) {
-	v = randu() > 0.2 ? NaN : randu() * 100.0;
+	v = ( randu() > 0.2 ) ? NaN : randu() * 100.0;
 	s = accumulator( v );
-	console.log( '%d\t%d', v.toFixed( 4 ),(s == null) ? NaN : s.toFixed( 4 ) );
+	console.log( '%d\t%d', v.toFixed( 4 ), (s === null) ? NaN : s.toFixed( 4 ) );
 }

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

@@ -92,7 +92,7 @@ var incrmstdev = require( '@stdlib/stats/incr/mstdev' );
 *
 *     ```tex
 *     \begin{align*}
-*     (N-1)(\Delta s^2) &= (x_N - x_0)(x_N + x_0) - (x_N - x_0)(\bar{x}_{i+1} + \bar{x}_{i})
+*     (N-1)(\Delta s^2) &= (x_N - x_0)(x_N + x_0) - (x_N - x_0)(\bar{x}_{i+1} + \bar{x}_{i}) \\
 *     &= (x_N - x_0)(x_N + x_0 - \bar{x}_{i+1} - \bar{x}_{i}) \\
 *     &= (x_N - x_0)(x_N - \bar{x}_{i+1} + x_0 - \bar{x}_{i})
 *     \end{align*}
@@ -141,15 +141,24 @@ function incrnanmstdev( W, mean ) {
 	} else {
 		acc = incrmstdev( W );
 	}
-	return function accumulator( x ) {
+	return accumulator;
+
+	/**
+	* If provided a value, the accumulator function returns an updated standard deviation. If not provided a value, the accumulator function returns the current standard deviation.
+	*
+	* @private
+	* @param {number} [x] - new value
+	* @returns {(number|null)} standard deviation or null
+	*/
+	function accumulator( x ) {
 		if ( arguments.length === 0 ) {
 			return acc();
 		}
 		if ( isnan( x ) ) {
 			return acc();
 		}
 		return acc( x );
-	};
+	}
 }
 
 

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

@@ -23,7 +23,6 @@
 var tape = require( 'tape' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var randu = require( '@stdlib/random/base/randu' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var incrnanmstdev = require( './../lib' );
@@ -300,7 +299,6 @@ tape( 'if the window size is `1` and the mean is known, the accumulator function
 	t.end();
 });
 
-
 tape( 'if provided a NaN, the accumulator function ignores it (unknown mean, W=1)', function test( t ) {
 	var expected;
 	var data;
@@ -318,7 +316,7 @@ tape( 'if provided a NaN, the accumulator function ignores it (unknown mean, W=1
 		NaN,  // NaN (ignored) -> 0
 		5.6   // 5.6 -> 0
 	];
-	
+
 	expected = [
 		null,
 		0.0,
@@ -335,7 +333,7 @@ tape( 'if provided a NaN, the accumulator function ignores it (unknown mean, W=1
 		} else {
 			t.equal( v, expected[ i ], 'returns expected value for window '+i );
 		}
-		
+
 		// Test accumulator without arguments
 		if (expected[i] === null) {
 			t.equal( acc(), null, 'returns correct value for window '+i );
@@ -363,7 +361,7 @@ tape( 'if provided a NaN, the accumulator function ignores it (known mean, W=1)'
 		NaN,  // NaN (ignored) -> 1.0
 		5.0   // 5.0 -> 0.0
 	];
-	
+
 	expected = [
 		null,
 		2.0,
@@ -380,7 +378,7 @@ tape( 'if provided a NaN, the accumulator function ignores it (known mean, W=1)'
 		} else {
 			t.equal( v, expected[ i ], 'returns expected value for window '+i );
 		}
-		
+
 		// Test accumulator without arguments
 		if (expected[i] === null) {
 			t.equal( acc(), null, 'returns correct value for window '+i );
@@ -394,23 +392,23 @@ tape( 'if provided a NaN, the accumulator function ignores it (known mean, W=1)'
 tape( 'if provided a sequence of NaN values, the accumulator function should continue to ignore them', function test( t ) {
 	var acc;
 	var v;
-	
+
 	acc = incrnanmstdev( 3 );
-	
+
 	v = acc( 2.0 );
 	t.equal( v, 0.0, 'returns expected value' );
-	
+
 	v = acc( NaN );
 	t.equal( v, 0.0, 'returns expected value' );
-	
+
 	v = acc( NaN );
 	t.equal( v, 0.0, 'returns expected value' );
-	
+
 	v = acc( NaN );
 	t.equal( v, 0.0, 'returns expected value' );
-	
+
 	v = acc( 3.0 );
 	t.equal( v.toFixed(4), sqrt(0.5).toFixed(4), 'returns expected value' );
-	
+
 	t.end();
-});
+});