chore: minor clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
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    status: passed
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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/README.md

@@ -54,7 +54,7 @@ var skewness = require( '@stdlib/stats/base/dists/bradford/skewness' );
 
 #### skewness( c )
 
-Returns the [skewness][skewness] of a [Bradford][bradford-distribution] distribution with degrees of freedom `c`.
+Returns the [skewness][skewness] of a [Bradford][bradford-distribution] distribution with shape parameter `c`.
 
 ```javascript
 var v = skewness( 9.0 );
@@ -92,17 +92,16 @@ var v = skewness( -1.0 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var skewness = require( '@stdlib/stats/base/dists/bradford/skewness' );
 var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var skewness = require( '@stdlib/stats/base/dists/bradford/skewness' );
 
-var c = uniform( 10, 0.1, 10.0 );
+var opts = {
+    'dtype': 'float64'
+};
+var c = uniform( 10, 0.1, 10.0, opts );
 
-var v;
-var i;
-for ( i = 0; i < 10; i++ ) {
-    v = skewness( c[ i ] );
-    console.log( 'c: %d, Skew(X;c): %d', c[ i ].toFixed( 4 ), v.toFixed( 4 ) );
-}
+logEachMap( 'c: %0.4f, Skew(X;c): %0.4f', c, skewness );
 ```
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/examples/index.js

@@ -19,13 +19,12 @@
 'use strict';
 
 var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
 var skewness = require( './../lib' );
 
-var c = uniform( 10, 0.1, 10.0 );
+var opts = {
+	'dtype': 'float64'
+};
+var c = uniform( 10, 0.1, 10.0, opts );
 
-var v;
-var i;
-for ( i = 0; i < 10; i++ ) {
-	v = skewness( c[ i ] );
-	console.log( 'c: %d, Skew(X;c): %d', c[ i ].toFixed( 4 ), v.toFixed( 4 ) );
-}
+logEachMap( 'c: %0.4f, Skew(X;c): %0.4f', c, skewness );

lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js

@@ -41,13 +41,13 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'if provided `NaN` for `k`, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for `c`, the function returns `NaN`', function test( t ) {
 	var v = skewness( NaN );
 	t.equal( isnan( v ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided a degrees of freedom parameter `k` that is not a positive number, the function returns `NaN`', function test( t ) {
+tape( 'if provided a shape parameter `c` that is not a positive number, the function returns `NaN`', function test( t ) {
 	var v;
 
 	v = skewness( -1.0 );
@@ -62,7 +62,6 @@ tape( 'if provided a degrees of freedom parameter `k` that is not a positive num
 	t.end();
 });
 
-/* TODO :- some of these cases are failing for small values of x which can corrected by improving ln implementation for small values */
 tape( 'the function returns the skewness of a bradford distribution', function test( t ) {
 	var expected;
 	var delta;
@@ -79,7 +78,7 @@ tape( 'the function returns the skewness of a bradford distribution', function t
 			t.equal( y, expected[i], 'x:'+x[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 50 * EPS * abs( expected[ i ] );
+			tol = 20000 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}