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https://github.com/brianary/statistics-lite
A trivial Perl statistics module.
https://github.com/brianary/statistics-lite
perl-module perl5
Last synced: 2 days ago
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A trivial Perl statistics module.
- Host: GitHub
- URL: https://github.com/brianary/statistics-lite
- Owner: brianary
- Created: 2015-02-16T16:47:09.000Z (over 9 years ago)
- Default Branch: main
- Last Pushed: 2021-09-06T03:53:15.000Z (about 3 years ago)
- Last Synced: 2024-09-24T23:33:52.987Z (2 days ago)
- Topics: perl-module, perl5
- Language: Perl
- Homepage: https://metacpan.org/pod/Statistics::Lite
- Size: 11.7 KB
- Stars: 4
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: Changes
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README
# 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)`
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 ,
`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 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).