chore: suggested changes

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---

Author: iampratik13

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

@@ -133,7 +133,6 @@ The function has the following parameters:
 
 -   If provided an empty one-dimensional ndarray, the function returns `NaN`.
 -   If `N - c` is less than or equal to `0` (where `N` corresponds to the number of non-NaN elements in the input ndarray and `c` corresponds to the provided degrees of freedom adjustment), the function returns `NaN`.
--   The function ignores `NaN` values when computing the standard deviation.
 
 </section>
 
@@ -165,7 +164,7 @@ var opts = {
     'dtype': 'float64'
 };
 
-var xbuf = filledarrayBy( 10, 'float64', rand );
+var xbuf = filledarrayBy( 10, opts.dtype, rand );
 var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
 

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

@@ -43,10 +43,10 @@ var options = {
 // FUNCTIONS //
 
 /**
-* Returns a random value, possibly NaN.
+* Returns a random value.
 *
 * @private
-* @returns {number} random value or `NaN`
+* @returns {number} random value
 */
 function rand() {
 	if ( bernoulli( 0.8 ) < 1 ) {
@@ -67,7 +67,7 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = filledarrayBy( len, 'float64', rand );
+	xbuf = filledarrayBy( len, options.dtype, rand );
 	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 	correction = scalar2ndarray( 1.0, options );
 

lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevyc/examples/index.js

@@ -37,7 +37,7 @@ var opts = {
 	'dtype': 'float64'
 };
 
-var xbuf = filledarrayBy( 10, 'float64', rand );
+var xbuf = filledarrayBy( 10, opts.dtype, rand );
 var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );