NAME

       Statistics::Lite - Small stats stuff.

SYNOPSIS

               use Statistics::Lite qw(:all);

               $min= min @data;
               $mean= mean @data;

               %data= statshash @data;
               print "sum= $data{sum} stddev= $data{stddev}\n";

               print statsinfo(@data);

DESCRIPTION

       This module is a lightweight, functional alternative to larger, more complete, object-
       oriented statistics packages.  As such, it is likely to be better suited, in general, to
       smaller data sets.

       This is also a module for dilettantes.

       When you just want something to give some very basic, high-school-level statistical
       values, without having to set up and populate an object first, this module may be useful.

   NOTE
       This module implements standard deviation and variance calculated by both the unbiased and
       biased estimators.

FUNCTIONS

       "min(@data)", "max(@data)", "range(@data)", "sum(@data)", "count(@data)"
           Returns the minimum value, maximum value, range (max - min), sum, or count of values
           in @data. Undefined values are ignored.

           "count(@data)" simply returns "scalar(@data)".

           Please note that this module does not ignore undefined values in your data; instead,
           those are treated as zero.

       "mean(@data)", "median(@data)", "mode(@data)"
           Calculates the mean, median, or mode average of the values in @data. Undefined values
           are ignored.  (In the event of ties in the mode average, their mean is returned.)

       "variance(@data)", "stddev(@data)"
           Returns the standard deviation or variance of @data for a sample (same as Excel's
           STDEV).  This is also called the Unbiased Sample Variance and involves dividing the
           sample's squared deviations by N-1 (the sample count minus 1).  The standard deviation
           is just the square root of the variance.

       "variancep(@data)", "stddevp(@data)"
           Returns the standard deviation or variance of @data for the population (same as
           Excel's STDEVP).  This involves dividing the squared deviations of the population by N
           (the population size).  The standard deviation is just the square root of the
           variance.

       "statshash(@data)"
           Returns a hash whose keys are the names of all the functions listed above, with the
           corresponding values, calculated for the data set.

       "statsinfo(@data)"
           Returns a string describing the data set, using the values detailed above.

       "frequencies(@data)"
           Returns a hash. The keys are the distinct values in the data set, and the values are
           the number of times that value occurred in the data set.

   Import Tags
       The ":all" import tag imports all exportable functions from this module into the current
       namespace (use with caution). More specifically, these functions are the following: "min",
       "max", "range", "sum", "count", "mean", "median", "mode", "variance", "stddev",
       "variancep", "stddevp", "statshash", "statsinfo", and "frequencies".

       To import the statistical functions, use the import tag ":funcs".  This imports all of the
       above-mentioned functions, except for "statshash", "statsinfo", and "frequencies".

       Use ":stats" to import "statshash(@data)" and "statsinfo(@data)".

REPOSITORY

       <https://github.com/brianary/Statistics-Lite>

AUTHOR

       Brian Lalonde <brian@webcoder.info>, "stddev(@data)", "stddevp(@data)", "variance(@data)",
       "variancep(@data)", additional motivation by Nathan Haigh, with kind support from
       Alexander Zangerl.

       The project lives at https://github.com/brianary/Statistics-Lite

COPYRIGHT AND LICENSE

       Copyright 2000 Brian Lalonde <brian@webcoder.info>, Nathan Haigh, Alexander Zangerl, and
       Ton Voon.

       This library is free software; you can redistribute it and/or modify it under the same
       terms as Perl itself.

SEE ALSO

       perl(1).