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.
Return the minimum value, maximum value, range (max - min),
sum, or count of values in @data.
(Count 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.
(In the event of ties in the mode average, their mean is returned.)
variance(@data), stddev(@data)
Return 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)
Return 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 functions from this module into the
current namespace (use with caution).
To import the individual statistical funcitons, use the import tag :funcs;
use :stats to import statshash(@data) and statsinfo(@data).
AUTHOR
Brian Lalonde brian@webcoder.info,
stddev(@data), stddevp(@data), variance(@data), variancep(@data),
and additional motivation by Nathan Haigh.
NAME
Statistics::Lite - Small stats stuff.
SYNOPSIS
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)Return the minimum value, maximum value, range (max - min), sum, or count of values in
@data. (Count simply returnsscalar(@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. (In the event of ties in the mode average, their mean is returned.)variance(@data),stddev(@data)Return the standard deviation or variance of
@datafor 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)Return the standard deviation or variance of
@datafor 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
:allimport tag imports all functions from this module into the current namespace (use with caution). To import the individual statistical funcitons, use the import tag:funcs; use:statsto importstatshash(@data)andstatsinfo(@data).AUTHOR
Brian Lalonde brian@webcoder.info,
stddev(@data),stddevp(@data),variance(@data),variancep(@data), and additional motivation by Nathan Haigh.The project lives at https://github.com/brianary/Statistics-Lite
COPYRIGHT AND LICENSE
Copyright 2000 Brian Lalonde brian@webcoder.info and Nathan Haigh, with kind support from Alexander Zangerl.
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.
SEE ALSO
perl(1).