chore: update all files acc to test

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: failed
---

Author: saurabhraghuvanshii

lib/node_modules/@stdlib/stats/base/dists/t/quantile/README.md

@@ -169,17 +169,18 @@ for ( i = 0; i < 10; i++ ) {
 #include "stdlib/stats/base/dists/t/quantile.h"
 ```
 
-#### stdlib_base_dists_t_quantile( v )
+#### stdlib_base_dists_t_quantile( p, v )
 
-Returns the standard deviation of a Student's t distribution.
+Returns the [quantile function][quantile-function] for a [Student's t][t-distribution] distribution with degrees of freedom `v` with probability `p`.
 
 ```c
-double out = stdlib_base_dists_t_quantile( 9.0 );
-// returns 0.0
+double out = stdlib_base_dists_t_quantile( 1.9, 1.0 );
+// returns NaN
 ```
 
 The function accepts the following arguments:
 
+-   **p**: `[in] double` probability
 -   **v**: `[in] double` degrees of freedom.
 
 ```c
@@ -215,14 +216,16 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
+    double p;
     double v;
     double y;
     int i;
 
     for ( i = 0; i < 25; i++ ) {
-        v = random_uniform( 0.0, 20.0 );
+        p = random_uniform( 0.0, 10.0 );
+        v = random_uniform( 0.0, 10.0 ) * 10.0;
         y = stdlib_base_dists_t_quantile( v );
-        printf( "v: %lf, SD(X;v): %lf\n", v, y );
+        printf( "p: %lf, v: %lf, Q(p;v): %lf\n", p, v, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/t/quantile/benchmark/benchmark.js

@@ -23,7 +23,7 @@
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var ceil = require( '@stdlib/math/base/special/ceil' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var quantile = require( './../lib' );
@@ -39,16 +39,16 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
+	p = new Float64Array( len );
 	v = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		v[ i ] = ( randu() * 100.0 ) + 3.0;
+		p[ i ] = uniform();
+		v[ i ] = ceil( uniform( 0.0, 100.0 ) );
 	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		v = ceil( randu()*100.0 );
-		y = quantile( p, v );
+		y = quantile( p[ i % len ], v[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -73,7 +73,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
+		p = uniform();
 		y = myquantile( p );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/t/quantile/benchmark/benchmark.native.js

@@ -24,9 +24,9 @@ var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var ceil = require( '@stdlib/math/base/special/ceil' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -43,18 +43,21 @@ var opts = {
 bench( pkg+'::native', opts, function benchmark( b ) {
 	var len;
 	var v;
+	var p;
 	var y;
 	var i;
 
 	len = 100;
+	p = new Float64Array( len );
 	v = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		v[ i ] = ( randu() * 20.0 ) + 3.0 + EPS;
+		p[ i ] = uniform();
+		v[ i ] = ceil( uniform( 0.0, 100.0 ) );
 	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = quantile( v[ i % len ] );
+		y = quantile( p[ i % len ], v[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/t/quantile/benchmark/c/benchmark.c

@@ -93,18 +93,20 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
+	double p[ 100 ];
 	double v[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		v[ i ] = random_uniform( 0.0, 20.0 ) + 3.0;
+		p[ i ] = random_uniform( 0.0, 20.0 );
+		v[ i ] = random_uniform( 0.0, 100.0 );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_t_quantile( v[ i % 100 ] );
+		y = stdlib_base_dists_t_quantile( p[ i % 100 ], v[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/t/quantile/examples/c/example.c

@@ -26,13 +26,15 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
+	double p;
 	double v;
 	double y;
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		v = random_uniform( 0.0, 20.0 );
+		p = random_uniform( 0.0, 20.0);
+		v = random_uniform( 0.0, 100.0 );
 		y = stdlib_base_dists_t_quantile( v );
-		printf( "v: %lf, quant(X;v): %lf\n", v, y );
+		printf( "p: %lf, v: %lf, Q(p;v): %lf\n", p, v, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/t/quantile/include/stdlib/stats/base/dists/t/quantile.h

@@ -29,7 +29,7 @@ extern "C" {
 /**
 * Returns the skewness of a Student's t distribution.
 */
-double stdlib_base_dists_t_quantile( const double v );
+double stdlib_base_dists_t_quantile( const double p, const double v );
 
 #ifdef __cplusplus
 }

lib/node_modules/@stdlib/stats/base/dists/t/quantile/lib/native.js

@@ -26,34 +26,42 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Returns the skewness of a Student's t distribution.
+* Evaluates the quantile function for a Student's t distribution with degrees of freedom `v` at a probability `p`.
 *
-* @private
-* @param {NonNegativeNumber} v - degrees of freedom
-* @returns {NonNegativeNumber} quantile
+* @param {Probability} p - input value
+* @param {PositiveNumber} v - degrees of freedom
+* @returns {number} evaluated quantile function
 *
 * @example
-* var v = quantile( 9.0 );
-* // returns 0.0
+* var y = quantile( 0.8, 1.0 );
+* // returns ~1.376
+*
+* @example
+* var y = quantile( 0.1, 1.0 );
+* // returns ~-3.078
 *
 * @example
-* var v = quantile( 4.0 );
+* var y = quantile( 0.5, 0.1 );
 * // returns 0.0
 *
 * @example
-* var v = quantile( 0.5 );
+* var y = quantile( -0.2, 0.1 );
+* // returns NaN
+*
+* @example
+* var y = quantile( NaN, 1.0 );
 * // returns NaN
 *
 * @example
-* var v = quantile( -0.2 );
+* var y = quantile( 0.0, NaN );
 * // returns NaN
 *
 * @example
-* var v = quantile( NaN );
+* var y = quantile( 0.5, -1.0 );
 * // returns NaN
 */
-function quantile( v ) {
-	return addon( v );
+function quantile( p, v ) {
+	return addon( p, v );
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/t/quantile/manifest.json

@@ -38,7 +38,10 @@
         "libraries": [],
         "libpath": [],
         "dependencies": [
-          "@stdlib/math/base/napi/unary",
+          "@stdlib/math/base/napi/binary",
+          "@stdlib/math/base/special/kernel-betaincinv",
+          "@stdlib/math/base/special/sqrt",
+          "@stdlib/math/base/special/signum",
           "@stdlib/math/base/assert/is-nan"
         ]
       },
@@ -54,7 +57,9 @@
         "libraries": [],
         "libpath": [],
         "dependencies": [
-          "@stdlib/math/base/assert/is-nan"
+          "@stdlib/math/base/assert/is-nan",
+          "@stdlib/math/base/special/sqrt",
+          "@stdlib/math/base/special/signum"
         ]
       },
       {
@@ -69,7 +74,8 @@
         "libraries": [],
         "libpath": [],
         "dependencies": [
-          "@stdlib/math/base/assert/is-nan"
+          "@stdlib/math/base/assert/is-nan",
+          "@stdlib/math/base/special/sqrt"
         ]
       }
     ]

lib/node_modules/@stdlib/stats/base/dists/t/quantile/src/addon.c

@@ -17,7 +17,7 @@
 */
 
 #include "stdlib/stats/base/dists/t/quantile.h"
-#include "stdlib/math/base/napi/unary.h"
+#include "stdlib/math/base/napi/binary.h"
 
 // cppcheck-suppress shadowFunction
-STDLIB_MATH_BASE_NAPI_MODULE_D_D( stdlib_base_dists_t_quantile)
+STDLIB_MATH_BASE_NAPI_MODULE_DD_D( stdlib_base_dists_t_quantile)

lib/node_modules/@stdlib/stats/base/dists/t/quantile/src/main.c

@@ -17,21 +17,35 @@
 */
 
 #include "stdlib/stats/base/dists/t/quantile.h"
+#include "stdlib/math/base/special/kernel-betaincinv.h"
+#include "stdlib/math/base/special/signum.h"
+#include "stdlib/math/base/special/sqrt.h"
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
 * Returns the skewness of a Student's t distribution.
 *
+* @param p    probability
 * @param v    degrees of freedom
-* @return     quantile
+* @return     evaluated quantile function
 *
 * @example
 * double y = stdlib_base_t_quantile( 9.0 );
 * // returns 0.0
 */
-double stdlib_base_dists_t_quantile( const double v ) {
-	if ( stdlib_base_is_nan( v ) || v <= 3.0 ) {
+double stdlib_base_dists_t_quantile( const double p, const double v ) {
+	double prob;
+	double xs;
+	if (
+		stdlib_base_is_nan( v ) ||
+		stdlib_base_is_nan( p ) ||
+		v <= 0.0 ||
+		p < 0.0 ||
+		p > 1.0
+	) {
 		return 0.0 / 0.0; // NaN
 	}
-	return 0.0;
+	prob = ( p > 0.5 ) ? 1.0 - p : p;
+	xs = stdlib_base_kernelBetaincinv( v / 2.0, 0.5, 2.0 * prob, 1.0 - (2.0 * prob) );
+	return stdlib_base_signum( p - 0.5 ) * stdlib_base_sqrt( v * xs[ 1 ] / xs[ 0 ] );
 }