Wilcoxon signed rank test statistic quantile function.
var quantile = require( '@stdlib/stats/base/dists/signrank/quantile' );Evaluates the quantile function for the Wilcoxon signed rank test statistic with n observations.
var y = quantile( 0.8, 5 );
// returns 11
y = quantile( 0.5, 3 );
// returns 3If provided a probability p outside the interval [0,1], the function returns NaN.
var y = quantile( 1.9, 5 );
// returns NaN
y = quantile( -0.1, 5 );
// returns NaNIf provided NaN as any argument, the function returns NaN.
var y = quantile( NaN, 5 );
// returns NaN
y = quantile( 0.0, NaN);
// returns NaNIf not provided a positive integer for n, the function returns NaN.
var y = quantile( 0.4, -1.0 );
// returns NaN
y = quantile( 0.4, 3.7 );
// returns NaNReturns a function for evaluating the quantile function of the Wilcoxon signed rank test statistic with n observations.
var myQuantile = quantile.factory( 8 );
var y = myQuantile( 0.4 );
// returns 16
y = myQuantile( 1.0 );
// returns 36var randint = require( '@stdlib/random/base/discrete-uniform' );
var randu = require( '@stdlib/random/base/randu' );
var quantile = require( '@stdlib/stats/base/dists/signrank/quantile' );
var n;
var p;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
p = randu();
n = randint( 1, 20 );
y = quantile( p, n );
console.log( 'p: %d, n: %d, Q(p;n): %d', p.toFixed( 4 ), n, y.toFixed( 4 ) );
}#include "stdlib/stats/base/dists/signrank/quantile.h"Evaluates the quantile function of the Wilcoxon signed rank test statistic with n observations.
double out = stdlib_base_dists_signrank_quantile( 0.8, 5 );
// returns 11.0The function accepts the following arguments:
- p:
[in] doubleprobability value. - n:
[in] int32_tnumber of observations.
double stdlib_base_dists_signrank_quantile( const double p, const int32_t n );#include "stdlib/stats/base/dists/signrank/quantile.h"
#include "stdlib/math/base/special/ceil.h"
#include <stdlib.h>
#include <stdio.h>
#include <stdint.h>
static double random_uniform( const double min, const double max ) {
double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
return min + ( v*(max-min) );
}
int main( void ) {
int32_t n;
double p;
double y;
int i;
for ( i = 0; i < 10; i++ ) {
p = random_uniform( 0.0, 1.0 );
n = (int32_t)stdlib_base_ceil( random_uniform( 1.0, 20.0 ) );
y = stdlib_base_dists_signrank_quantile( p, n );
printf( "p: %lf, n: %d, f(x;n): %lf\n", p, n, y );
}
}