chore: clean-up

Author: gururaj1512

lib/node_modules/@stdlib/stats/array/nanstdevpn/README.md

@@ -112,7 +112,7 @@ var v = nanstdevpn( x );
 The function has the following parameters:
 
 -   **x**: input array.
--   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `N` corresponds to the number of array elements and `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction). Default: `1.0`.
+-   **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `N` corresponds to the number of non-`NaN` array elements and `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction). Default: `1.0`.
 
 By default, the function computes the sample [standard deviation][standard-deviation]. To adjust the degrees of freedom when computing the [standard deviation][standard-deviation], provide a `correction` argument.
 
@@ -132,7 +132,7 @@ var v = nanstdevpn( x, 0.0 );
 ## Notes
 
 -   If provided an empty array, the function returns `NaN`.
--   If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), the function returns `NaN`.
+-   If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment and `N` corresponds to the number of non-`NaN` array elements), the function returns `NaN`.
 -   The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 
 </section>

lib/node_modules/@stdlib/stats/array/nanstdevpn/docs/repl.txt

@@ -14,14 +14,14 @@
         Degrees of freedom adjustment. Setting this parameter to a value other
         than `0` has the effect of adjusting the divisor during the calculation
         of the standard deviation according to `N-c` where `N` corresponds to
-        the number of array elements and `c` corresponds to the provided
+        the number of non-NaN array elements and `c` corresponds to the provided
         degrees of freedom adjustment. When computing the standard deviation of
         a population, setting this parameter to `0` is the standard choice
         (i.e., the provided array contains data constituting an entire
         population). When computing the unbiased sample standard deviation,
         setting this parameter to `1` is the standard choice (i.e., the
         provided array contains data sampled from a larger population; this is
-        commonly referred to as Bessel's correction). Default: `1.0`.
+        commonly referred to as Bessel's correction). Default: 1.0.
 
     Returns
     -------

lib/node_modules/@stdlib/stats/array/nanstdevpn/docs/types/index.d.ts

@@ -32,10 +32,10 @@ type InputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
 *
 * ## Notes
 *
-* -   Setting the correction parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the standard deviation according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the standard deviation of a population, setting the correction parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the corrected sample standard deviation, setting the correction parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+* -   Setting the correction parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the standard deviation according to `N-c` where `N` corresponds to the number of non-`NaN` array elements and `c` corresponds to the provided degrees of freedom adjustment. When computing the standard deviation of a population, setting the correction parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the corrected sample standard deviation, setting the correction parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
 *
 * @param x - input array
-* @param correction - degrees of freedom adjustment
+* @param correction - degrees of freedom adjustment (default: 1.0)
 * @returns standard deviation
 *
 * @example

lib/node_modules/@stdlib/stats/array/nanstdevpn/lib/main.js

@@ -45,7 +45,7 @@ var GENERIC_DTYPE = 'generic';
 * @param {number} [correction=1.0] - degrees of freedom adjustment
 * @throws {TypeError} first argument must have a supported data type
 * @throws {TypeError} first argument must be an array-like object
-* @throws {TypeError} second argument must be an number
+* @throws {TypeError} second argument must be a number
 * @returns {number} standard deviation
 *
 * @example

lib/node_modules/@stdlib/stats/array/nanstdevpn/test/test.js

@@ -320,7 +320,7 @@ tape( 'if provided an array containing a single element, the function returns `0
 	t.end();
 });
 
-tape( 'if provided a `correction` parameter which is greater than or equal to the input array length, the function returns `NaN`', function test( t ) {
+tape( 'if provided a `correction` parameter yielding a correction term less than or equal to `0`, the function returns `NaN`', function test( t ) {
 	var x;
 	var v;
 
@@ -335,7 +335,7 @@ tape( 'if provided a `correction` parameter which is greater than or equal to th
 	t.end();
 });
 
-tape( 'if provided a `correction` parameter which is greater than or equal to the input array length, the function returns `NaN` (accessors)', function test( t ) {
+tape( 'if provided a `correction` parameter yielding a correction term less than or equal to `0`, the function returns `NaN` (accessors)', function test( t ) {
 	var x;
 	var v;