refactor: apply suggestions from PR review

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Author: anandkaranubc

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

@@ -106,7 +106,7 @@ function incrwmean() {
 	* @private
 	* @param {number} [x] - value
 	* @param {NonNegativeNumber} [w] - weight
-	* @throws {TypeError} must provide a nonnegative number as the weight
+	* @throws {TypeError} second argument must be a nonnegative number
 	* @returns {(number|null)} weighted mean or null
 	*/
 	function accumulator( x, w ) {
@@ -117,9 +117,9 @@ function incrwmean() {
 			return mu;
 		}
 		if ( !isNonNegativeNumber( w ) ) {
-			throw new TypeError( format( 'invalid argument. Must provide a nonnegative weight. Weight: `%s`.', w ) );
+			throw new TypeError( format( 'invalid argument. Second argument must be a nonnegative number. Value: `%s`.', w ) );
 		}
-		if (w === 0.0) {
+		if ( w === 0.0 ) {
 			return ( FLG === void 0 ) ? null : mu;
 		}
 		FLG = true;

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

@@ -49,13 +49,13 @@ tape( 'the initial accumulated value is `null`', function test( t ) {
 tape( 'the accumulator function ignores zero weights and only updates the mean after encountering a non-zero weight', function test( t ) {
 	var acc = incrwmean();
 	t.equal( acc(), null, 'returns expected value' );
-	t.equal( acc( 2.0, 0.0 ), null, 'returns the previous accumulated mean' );
-	t.equal( acc( 2.0, 2.0 ), 2.0, 'returns the current accumulated mean' );
-	t.equal( acc( 5.0, 0.0 ), 2.0, 'returns the previous accumulated mean' );
+	t.equal( acc( 2.0, 0.0 ), null, 'returns expected value' );
+	t.equal( acc( 2.0, 2.0 ), 2.0, 'returns expected value' );
+	t.equal( acc( 5.0, 0.0 ), 2.0, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function throws an error if not provided a nonnegative number', function test( t ) {
+tape( 'the accumulator function throws an error if provided a second argument which is not a nonnegative number', function test( t ) {
 	var values;
 	var acc;
 	var i;