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Tests

beta.php(execute)
binomial.php(execute)
cauchy.php(execute)
chisqr.php(execute)
exponential.php(execute)
f.php(execute)
gamma.php(execute)
geometric.php(execute)
hypergeometric.php(execute)
lognormal.php(execute)
make_table.php(execute)
multinormal.php(execute)
negativebinomial.php(execute)
normal.php(execute)
pareto.php(execute)
poisson.php(execute)
t.php(execute)
triangle.php(execute)
uniform.php(execute)
weibull.php(execute)

<?php
/**
* @package PDL

* Script to test PoissonDistribution methods 
*/ 
require_once '../PoissonDistribution.php'
require_once 
'make_table.php'

$pois = new PoissonDistribution(1.2);

$Methods    = array("getMean()","getVariance()","PDF(2)","CDF(3)","ICDF(0.9662)""RNG(1)");
$Output[0] = $pois->getMean();
$Output[1] = $pois->getVariance();
$Output[2] = $pois->PDF(2);
$Output[3] = $pois->CDF(3);
$Output[4] = $pois->ICDF(0.9662);
$Output[5] = $pois->RNG(1);
make_table("PoissonDistribution(1.2)""Methods""Output"$Methods$Output);

// Test PDF function by feeding an array of $x_vals and 
// getting a corresponding array of $p_vals. 
$X_Vals = array(012345); 
$P_Vals $pois->PDF($X_Vals); 
make_table("PDF(X_VALS)""X Vals Input""P Vals Output"$X_Vals$P_Vals); 

// Test CDF function by feeding an array of $x_vals and getting 
// a corresponding array of $p_vals where each p_val corresponds 
// to p(x < $x_vals[$i]) 
$X_Vals = array(012345); 
$P_Vals $pois->CDF($X_Vals); 
make_table("CDF(X_VALS)""X Vals Input""P Vals Output"$X_Vals$P_Vals); 

// Test ICDF function by feeding in P_Vals from previous 
// test. Result should be mirror of CDF output. 
$X_Vals $pois->ICDF($P_Vals); 
make_table("ICDF(P_VALS)""P Vals Input""X Vals Output"$P_Vals$X_Vals); 

$Index     range(07);
$Rnd_Vals  $pois->RNG(8);
make_table("RNG(N)""Index""Rnd Vals"$Index$Rnd_Vals);
?>