chore: minor clean-up

---
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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/ndarray/dmskmaxabs/test/test.js

@@ -132,16 +132,16 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', function test(
 	t.end();
 });
 
-tape( 'if provided an ndarray containing a single element, the function returns the first element', function test( t ) {
+tape( 'if provided an ndarray containing a single element, the function returns the absolute value of the first element', function test( t ) {
 	var mask;
 	var x;
 	var v;
 
-	x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+	x = new Float64Array( [ -3.0, -2.0, -4.0, 5.0, 3.0 ] );
 	mask = new Uint8Array( [ 0, 0, 0, 0, 0 ] );
 
 	v = dmskmaxabs( [ vector( 'float64', x, 1, 1, 0 ), vector( 'uint8', mask, 1, 1, 0 ) ] );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	t.strictEqual( v, 3.0, 'returns expected value' );
 
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/ndarray/nanmskmidrange/README.md

@@ -24,7 +24,7 @@ limitations under the License.
 
 <section class="intro">
 
-The [**mid-range**][mid-range] is defined as the arithmetic mean of the maximum and minimum values. The measure is the midpoint of the range and a measure of central tendency.
+The [**mid-range**][mid-range], or **mid-extreme**, is the arithmetic mean of the maximum and minimum values in a data set. The measure is the midpoint of the range and a measure of central tendency.
 
 </section>
 
@@ -57,9 +57,7 @@ var v = nanmskmidrange( [ x, mask ] );
 
 The function has the following parameters:
 
--   **arrays**: array-like object containing an input ndarray and a mask ndarray.
-
-If a `mask` array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
+-   **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional mask ndarray.
 
 </section>
 
@@ -69,6 +67,7 @@ If a `mask` array element is `0`, the corresponding element in the input ndarray
 
 ## Notes
 
+-   If a mask array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a mask array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
 -   If provided an empty ndarray or a mask with all elements set to `1`, the function returns `NaN`.
 
 </section>

lib/node_modules/@stdlib/stats/base/ndarray/snanmskmidrange/README.md

@@ -59,9 +59,7 @@ var v = snanmskmidrange( [ x, mask ] );
 
 The function has the following parameters:
 
--   **arrays**: array-like object containing an input ndarray and a mask ndarray.
-
-If a `mask` array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
+-   **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional mask ndarray.
 
 </section>
 
@@ -71,6 +69,7 @@ If a `mask` array element is `0`, the corresponding element in the input ndarray
 
 ## Notes
 
+-   If a mask array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a mask array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
 -   If provided an empty ndarray or a mask with all elements set to `1`, the function returns `NaN`.
 
 </section>

lib/node_modules/@stdlib/stats/base/ndarray/snanmskmidrange/benchmark/benchmark.js

@@ -64,7 +64,6 @@ function createBenchmark( len ) {
 
 	return benchmark;
 
-
 	/**
 	* Benchmark function.
 	*

lib/node_modules/@stdlib/stats/strided/dnanrangeabs/docs/types/test.ts

@@ -141,7 +141,7 @@ import dnanrangeabs = require( './index' );
 	dnanrangeabs.ndarray( x.length, x, 1, null ); // $ExpectError
 	dnanrangeabs.ndarray( x.length, x, 1, undefined ); // $ExpectError
 	dnanrangeabs.ndarray( x.length, x, 1, [] ); // $ExpectError
-	dnanrangeabs.ndarray( x.length, x, 1, {}, ); // $ExpectError
+	dnanrangeabs.ndarray( x.length, x, 1, {} ); // $ExpectError
 	dnanrangeabs.ndarray( x.length, x, 1, ( x: number ): number => x ); // $ExpectError
 }