docs/meanors

Author: iampratik13

lib/node_modules/@stdlib/stats/meanors/README.md

@@ -61,10 +61,7 @@ var array = require( '@stdlib/ndarray/array' );
 var x = array( [ 1.0, 2.0, -2.0, 4.0 ] );
 
 var y = meanors( x );
-// returns <ndarray>
-
-var v = y.get();
-// returns 1.25
+// returns <ndarray>[ 1.25 ]
 ```
 
 The function has the following parameters:
@@ -81,81 +78,58 @@ The function accepts the following options:
 By default, the function performs a reduction over all elements in a provided input [ndarray][@stdlib/ndarray/ctor]. To perform a reduction over specific dimensions, provide a `dims` option.
 
 ```javascript
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var array = require( '@stdlib/ndarray/array' );
 
 var x = array( [ 1.0, 2.0, -2.0, 4.0 ], {
     'shape': [ 2, 2 ],
     'order': 'row-major'
 });
-var v = ndarray2array( x );
-// returns [ [ 1.0, 2.0 ], [ -2.0, 4.0 ] ]
+// returns <ndarray>[ [ 1.0, 2.0 ], [ -2.0, 4.0 ] ]
 
 var y = meanors( x, {
     'dims': [ 0 ]
 });
-// returns <ndarray>
-
-v = ndarray2array( y );
-// returns [ -0.5, 3.0 ]
+// returns <ndarray>[ -0.5, 3.0 ]
 
 y = meanors( x, {
     'dims': [ 1 ]
 });
-// returns <ndarray>
-
-v = ndarray2array( y );
-// returns [ 1.5, 1.0 ]
+// returns <ndarray>[ 1.5, 1.0 ]
 
 y = meanors( x, {
     'dims': [ 0, 1 ]
 });
-// returns <ndarray>
-
-v = y.get();
-// returns 1.25
+// returns <ndarray>[ 1.25 ]
 ```
 
 By default, the function excludes reduced dimensions from the output [ndarray][@stdlib/ndarray/ctor]. To include the reduced dimensions as singleton dimensions, set the `keepdims` option to `true`.
 
 ```javascript
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var array = require( '@stdlib/ndarray/array' );
 
 var x = array( [ 1.0, 2.0, -2.0, 4.0 ], {
     'shape': [ 2, 2 ],
     'order': 'row-major'
 });
-
-var v = ndarray2array( x );
-// returns [ [ 1.0, 2.0 ], [ -2.0, 4.0 ] ]
+// returns <ndarray>[ [ 1.0, 2.0 ], [ -2.0, 4.0 ] ]
 
 var y = meanors( x, {
     'dims': [ 0 ],
     'keepdims': true
 });
-// returns <ndarray>
-
-v = ndarray2array( y );
-// returns [ [ -0.5, 3.0 ] ]
+// returns <ndarray>[ [ -0.5, 3.0 ] ]
 
 y = meanors( x, {
     'dims': [ 1 ],
     'keepdims': true
 });
-// returns <ndarray>
-
-v = ndarray2array( y );
-// returns [ [ 1.5 ], [ 1.0 ] ]
+// returns <ndarray>[ [ 1.5 ], [ 1.0 ] ]
 
 y = meanors( x, {
     'dims': [ 0, 1 ],
     'keepdims': true
 });
-// returns <ndarray>
-
-v = ndarray2array( y );
-// returns [ [ 1.25 ] ]
+// returns <ndarray>[ [ 1.25 ] ]
 ```
 
 By default, the function returns an [ndarray][@stdlib/ndarray/ctor] having a [data type][@stdlib/ndarray/dtypes] determined by the function's output data type [policy][@stdlib/ndarray/output-dtype-policies]. To override the default behavior, set the `dtype` option.
@@ -189,10 +163,7 @@ var x = array( [ 1.0, 2.0, -2.0, 4.0 ] );
 var y = zeros( [] );
 
 var out = meanors.assign( x, y );
-// returns <ndarray>
-
-var v = out.get();
-// returns 1.25
+// returns <ndarray>[ 1.25 ]
 
 var bool = ( out === y );
 // returns true

lib/node_modules/@stdlib/stats/meanors/docs/repl.txt

@@ -32,9 +32,8 @@
     Examples
     --------
     > var x = {{alias:@stdlib/ndarray/array}}( [ -1.0, 2.0, -3.0, -4.0 ] );
-    > var y = {{alias}}( x );
-    > var v = y.get()
-    -1.5
+    > var y = {{alias}}( x )
+    <ndarray>[ -1.5 ]
 
 
 {{alias}}.assign( x, out[, options] )
@@ -68,11 +67,9 @@
     > var x = {{alias:@stdlib/ndarray/array}}( [ -1.0, 2.0, -3.0, -4.0 ] );
     > var out = {{alias:@stdlib/ndarray/zeros}}( [] );
     > var y = {{alias}}.assign( x, out )
-    <ndarray>
+    <ndarray>[ -1.5 ]
     > var bool = ( out === y )
     true
-    > var v = out.get()
-    -1.5
 
     See Also
     --------

lib/node_modules/@stdlib/stats/meanors/lib/index.js

@@ -45,10 +45,7 @@
 *
 * // Perform reduction:
 * var out = meanors( x );
-* // returns <ndarray>
-*
-* var v = out.get();
-* // returns 6.5
+* // returns <ndarray>[ 6.5 ]
 */
 
 // MODULES //

lib/node_modules/@stdlib/stats/meanors/lib/main.js

@@ -88,10 +88,7 @@ var table = {
 *
 * // Perform reduction:
 * var out = meanors( x );
-* // returns <ndarray>
-*
-* var v = out.get();
-* // returns 6.5
+* // returns <ndarray>[ 6.5 ]
 */
 var meanors = factory( table, [ idtypes ], odtypes, policies );