I finally did something that solves the problem partially.
The two following functions do that.
The first function,
rands will return a "standard" randomized integer.
It has two input values: The first input
variables denote the range of the output. (i.e.
0 to input) The second one will denote the
precision: Higher it is, closer the result will
be to the
normal distribution. 5 is more
than enough for many purposes.
The
second function (random) is a
little bit more tricky.
The first input is the range, just like in the first
function. The second input is a string which
can either be "low" or "high". The third input
is a limit.
If the second input is "low", then
the third input denotes the lowest possible
number. If it is high, then it denotes the
highest possible number. All the results that are
outside either the lowest or the highest frequency
will be ignored and "re-rolled".
Here is the snippet:
sub rands{
my $t=0;
$t = 0;
$t+= ( rand()* ($_[0]/$_[1]) ) for(1..$_[1]);
return int($t+1);
}
sub random{
my ($no,$type,$limit) = @_;
$t = rands($no,5);
if($type eq "low"){
while ($t<$limit){
$t = rands($no,5)
}
}
elsif($type eq "high"){
while ($t>$limit){
$t = rands($no,5)
}
}
}
I was not able to "skew" my results, so I used
this _harsh_ method of cutting off instead.
One final note: You can set the second input
variable of rands to a low number (2,3) to get a
more homogenous distribution, i.e. a distribution
with "high variance".
Sinan