Statistics::Basic::_TwoVectorBase (3pm)

query()

Query the value of the object. It will return the undefined value until there's something to calculate.

insert()

Insert two new new values into the vectors. This function must be given precisely two arguments and probably shouldn't be undefined values in most cases.

    # insert a 4 in one vector and a 3 in the other
    $object_instance->insert( 4, 3 );

append() ginsert()

The growing insert inserts new elements, growing the max size of the vector to accommodate the new elements (if necessary). This function must be given precisely two arguments and probably shouldn't be undefined values in most cases. # append a 4 in one vector and a 3 in the other $object_instance->ginsert( 4, 3 );

query_size()

The current size of the vectors \*(-- regardless of their max size (as set by \*(L"set_size()\*(R"). This function returns a list, i.e.: my @s = $obj->query_size; # two values my $s = $obj->query_size; # the right hand value of the list

set_size()

Set the maximum size for the underlying Statistics::Basic::Vector objects. This function requires two arguments.

set_vector()

Set the vector objects used to calculate the object's value. This function takes two arguments \*(-- which can either be arrayrefs or Statistics::Basic::Vector objects. They must have the same number of elements. my $v1 = vector my $v2 = $v1->copy; $example_correlation->set_vector($v1, $v2);

This class provides overloads. If evaluated as a string, it will attempt to print a pretty value for the object (or \*(C`n/a\*(C', see \*(L"query()\*(R" above). the resulting string can be tuned, in terms of precision, see ipres for further information.

If evaluated as a number, it will try to return the raw result of \*(L"query()\*(R", possibly turning the resulting \*(C`undef\*(C' (if applicable) into a 0 in the process \*(-- note that Perl does this 0-izing, not the overload.

The \*(C`eq\*(C' and \*(C`==\*(C' operators are also overloaded, trying to do the right thing. Also see toler for further information.

Paul Miller \*(C`<[email protected]>\*(C'

Copyright 2012 Paul Miller \*(-- Licensed under the \s-1LGPL\s0

perl\|(1), Statistics::Basic, Statistics::Basic::Vector