fix: test cases for stats/base/ndarray/*nanmin

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Author: gururaj1512

lib/node_modules/@stdlib/stats/base/ndarray/dnanmax/test/test.js

@@ -63,15 +63,15 @@ tape( 'the function calculates the maximum value of a one-dimensional ndarray',
 	var v;
 
 	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] );
-	v = dnanmax( [ vector( x, 6, 1, 0 ) ] );
+	v = dnanmax( [ vector( x, 7, 1, 0 ) ] );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = new Float64Array( [ -4.0, NaN, -5.0 ] );
-	v = dnanmax( [ vector( x, 2, 1, 0 ) ] );
+	v = dnanmax( [ vector( x, 3, 1, 0 ) ] );
 	t.strictEqual( v, -4.0, 'returns expected value' );
 
 	x = new Float64Array( [-0.0, 0.0, NaN, -0.0 ] );
-	v = dnanmax( [ vector( x, 3, 1, 0 ) ] );
+	v = dnanmax( [ vector( x, 4, 1, 0 ) ] );
 	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
 
 	x = new Float64Array( [ NaN ] );

lib/node_modules/@stdlib/stats/base/ndarray/nanmax/test/test.js

@@ -62,15 +62,15 @@ tape( 'the function calculates the maximum value of a one-dimensional ndarray',
 	var v;
 
 	x = [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ];
-	v = nanmax( [ vector( x, 6, 1, 0 ) ] );
+	v = nanmax( [ vector( x, 7, 1, 0 ) ] );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = [ -4.0, NaN, -5.0 ];
-	v = nanmax( [ vector( x, 2, 1, 0 ) ] );
+	v = nanmax( [ vector( x, 3, 1, 0 ) ] );
 	t.strictEqual( v, -4.0, 'returns expected value' );
 
 	x = [-0.0, 0.0, NaN, -0.0 ];
-	v = nanmax( [ vector( x, 3, 1, 0 ) ] );
+	v = nanmax( [ vector( x, 4, 1, 0 ) ] );
 	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
 
 	x = [ NaN ];

lib/node_modules/@stdlib/stats/base/ndarray/snanmax/test/test.js

@@ -63,15 +63,15 @@ tape( 'the function calculates the maximum value of a one-dimensional ndarray',
 	var v;
 
 	x = new Float32Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] );
-	v = snanmax( [ vector( x, 6, 1, 0 ) ] );
+	v = snanmax( [ vector( x, 7, 1, 0 ) ] );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = new Float32Array( [ -4.0, NaN, -5.0 ] );
-	v = snanmax( [ vector( x, 2, 1, 0 ) ] );
+	v = snanmax( [ vector( x, 3, 1, 0 ) ] );
 	t.strictEqual( v, -4.0, 'returns expected value' );
 
 	x = new Float32Array( [-0.0, 0.0, NaN, -0.0 ] );
-	v = snanmax( [ vector( x, 3, 1, 0 ) ] );
+	v = snanmax( [ vector( x, 4, 1, 0 ) ] );
 	t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
 
 	x = new Float32Array( [ NaN ] );