diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md index 64d19af9582a..7c24475ed29f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md @@ -151,6 +151,113 @@ logEachMap( 'r: %0.4f, n: %0.4f, p: %0.4f, Q(r;n,p): %0.4f', r, n, p, quantile ) + + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dists/binomial/quantile.h" +``` + +#### stdlib_base_dists_binomial_quantile( r, n, p ) + +Returns the [quantile function][quantile-function] for a [binomial][binomial-distribution] distribution with number of trials `n` and success probability `p` at value `r`. + +```c +double out = stdlib_base_dists_binomial_quantile( 0.4, 20, 0.2 ); +// returns 3 +``` + +The function accepts the following arguments: + +- **r**: `[in] double` input probability. +- **n**: `[in] double` number of trials. +- **p**: `[in] double` success probability. + +```c +double stdlib_base_dists_binomial_quantile( const double r, const double n, const double p ); +``` + +
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+ +### Examples + +```c +#include "stdlib/stats/base/dists/binomial/quantile.h" +#include "stdlib/math/base/special/ceil.h" +#include +#include + +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 ) { + double n; + double p; + double r; + double y; + int i; + + for ( i = 0; i < 25; i++ ) { + n = stdlib_base_ceil( random_uniform( 0.0, 100.0 ) ); + p = random_uniform( 0.0, 1.0 ); + r = random_uniform( 0.0, 1.0 ); + y = stdlib_base_dists_binomial_quantile( r, n, p ); + printf( "r: %lf, n: %lf, p: %lf, Q(r;n,p): %lf\n", r, n, p, y ); + } + + return 0; +} +``` + +
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