diff --git a/lib/node_modules/@stdlib/stats/base/dists/exponential/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/exponential/quantile/README.md index fd5d5647b64f..0b214f33236f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/exponential/quantile/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/exponential/quantile/README.md @@ -137,6 +137,105 @@ for ( i = 0; i < 10; i++ ) { + + +* * * + +
+ +## C APIs + + + +
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+ +### Usage + +```c +#include "stdlib/stats/base/dists/exponential/quantile.h" +``` + +#### stdlib_base_dists_exponential_quantile( p, lambda ) + +Evaluates the [quantile function][quantile-function] for a [exponential][exponential-distribution] distribution with rate parameter `lambda`. + +```c +double out = stdlib_base_dists_exponential_quantile( 0.8, 1.0 ); +// returns ~1.609 +``` + +The function accepts the following arguments: + +- **p**: `[in] double` probability. +- **lambda**: `[in] double` rate parameter. + +```c +double stdlib_base_dists_exponential_quantile( const double p, const double lambda ); +``` + +
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+ +### Examples + +```c +#include "stdlib/stats/base/dists/exponential/quantile.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 lambda; + double y; + double p; + int i; + + for ( i = 0; i < 25; i++ ) { + p = random_uniform( 0.0, 1.0 ); + lambda = random_uniform( 0.0, 20.0 ); + y = stdlib_base_dists_exponential_quantile( p, lambda ); + printf( "p: %lf, λ: %lf, Q(p;λ): %lf\n", p, lambda, y ); + } +} +``` + +
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