Stem-and-leaf plot/Data generator: Difference between revisions

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(Should produce a bell curve distribution for each hump, now.)
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Line 15:
sub genhump
{
my ($offset, $width, $pointcount, $slope) = shift@_;
my $width = shift;
my $pointcount = shift;
my $slope = shift;
 
my $diecount = $slope;
Line 24 ⟶ 21:
 
my @ret;
foreach (1 .. $pointcount)
while($pointcount-- > 0)
{
my $point = $offset;
forforeach (my1 $roll = 0; $roll <.. $diecount; ++$roll)
{
$point += rand($range * 10000) / 10000;
Line 38 ⟶ 35:
}
 
my @list = (&genhump(8, 3, 5, 3);,
push @list, &genhump(12, 3, 5, 6));▼
 
push @list, &genhump(8, 3, 5, 3);
▲push @list, &genhump(12, 3, 5, 6);
 
my @shuffled = &shuffle(@list);
 
print "$_ @shuffled\n";</lang>
foreach ( @shuffled );
</lang>

Revision as of 05:18, 14 December 2009

Written to generate data sets for the Stem-and-leaf plot task.

<lang perl>#!/usr/bin/perl use strict;

  1. The shuffle is taken from http://rosettacode.org/wiki/Knuth_shuffle

sub shuffle 

{my @a = @_;
 foreach my $n (1 .. $#a)
    {my $k = int rand $n + 1;
     $k == $n or @a[$k, $n] = @a[$n, $k];}
 return @a;}
  1. The greater your pointcount to your width, the more sparse your result.

sub genhump { my ($offset, $width, $pointcount, $slope) = @_;

my $diecount = $slope; my $range = $width / $diecount;

my @ret; foreach (1 .. $pointcount) { my $point = $offset; foreach (1 .. $diecount) { $point += rand($range * 10000) / 10000; }

push @ret, int($point); }

return @ret; }

my @list = (&genhump(8, 3, 5, 3), 

           &genhump(12, 3, 5, 6));

my @shuffled = &shuffle(@list);

print "@shuffled\n";</lang>

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