Hello folks! welcome back to a new edition of our tutorial on PHP. In this tutorial guide, we are going to be studying about the PHP stats_rand_gen_f() Function.
The built-in PHP stats_rand_gen_f() function is used to generate a random deviate from the F distribution.
The built-in PHP stats_rand_gen_f() function is used to generate a random deviate from the F distribution.
Syntax
Following below is the syntax to use this function -
float stats_rand_gen_f( float $dfn, float $dfd )
Parameter Details
Sr.No | Parameter | Description |
---|---|---|
1 | dfn | The degrees of freedom in the numerator |
2 | dfd | The degrees of freedom in the denominator |
Return Value
This function generates a random deviate from the F distribution with a "dfn" degree of freedom in the numerator, and then "dfd" degree of freedom in the denominator. This built-in function can generate a ratio of chi-square variates.
Dependencies
This built-in function was first introduced in statistics extension (PHP version 4.0.0 and PEAR v1.4.0). In this tutorial guide, we used the latest release of stats-2.0.3 (PHP v7.0.0 or newer and PEAR version 1.4.0 or newer).
Example1
Following example computes the random deviation from the F distribution -
<?php var_dump(is_float(stats_rand_gen_f(3, 2))); ?>
Output
When the above code is executed, it will produce the following result -
bool(true)
Example2
The following below is an error case, in the below example, we have passed dfn < 0. A warning is shown in logs -
<?php // error cases var_dump(stats_rand_gen_f(-0.1, 2)); // dfn < 0 ?>
Output
The above code will produce the following result and a warning in logs PHP Warning: stats_rand_gen_f(): Degrees of freedom non-positive. DFN value: -1.000000E-1 DFD value: 2.000000E+0
bool(false)
Example3
The following below is an error case. In the below example, we have passed dfr < 0. A warning is shown in logs -
<?php // error cases var_dump(stats_rand_gen_f(3, -0.1)); // dfr < 0 ?>
Output
The above code will produce the following result and a warning in logs PHP Warning: stats_rand_gen_f(): Degrees of freedom non-positive. DFN value: 3.000000E+0 DFD value: -1.000000E-1
bool(false)
Alright guys! This is where we are going to be rounding up for this tutorial post. In our next tutorial, we are going to be discussing about the built-in stats_rand_gen_funiform() Function.
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Thanks for reading and bye for now.