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https://github.com/pdlporters/pdl-stats

Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL broadcasting (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
https://github.com/pdlporters/pdl-stats

pdl perl perldatalanguage statistics

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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL broadcasting (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.

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# PDL-Stats

| Build status |
| ------------- |
| ![Build Status](https://github.com/PDLPorters/PDL-Stats/workflows/perl/badge.svg?branch=master) |

[![Coverage Status](https://coveralls.io/repos/PDLPorters/PDL-Stats/badge.svg?branch=master&service=github)](https://coveralls.io/github/PDLPorters/PDL-Stats?branch=master)
[![CPAN version](https://badge.fury.io/pl/PDL-Stats.svg)](https://metacpan.org/pod/PDL::Stats)

This is a collection of statistics modules in Perl Data Language, with a quick-start guide for non-PDL people.

They make perldl--the simple shell for PDL--work like a teenie weenie R, but with PDL threading--"the fast (and automagic) vectorised iteration of 'elementary operations' over arbitrary slices of multidimensional data"--on procedures including t-test, ordinary least squares regression, and kmeans.

Of course, they also work in perl scripts.

## DEPENDENCIES

- PDL

Perl Data Language. Preferably installed with a Fortran compiler. A
few methods (logistic regression and all plotting methods) will only
work with a Fortran compiler and some methods (ordinary least squares
regression and pca) work much faster with a Fortran compiler.

The required PDL version is 2.057.

- GSL (Optional)

GNU Scientific Library. This is required by PDL::Stats::Distr
and PDL::GSL::CDF, the latter of which provides p-values for
PDL::Stats::GLM. GSL is otherwise NOT required for the core PDL::Stats
modules to work, ie Basic, Kmeans, and GLM.

- PGPLOT (Optional)

PDL-Stats currently uses PGPLOT for plotting. There are
three pgplot/PGPLOT modules, which cause much confusion upon
installation. First there is the pgplot Fortran library. Then there is
the perl PGPLOT module, which is the perl interface to pgplot. Finally
there is PDL::Graphics::PGPLOT, which depends on pgplot and PGPLOT,
that PDL-Stats uses for plotting.

## INSTALLATION

### \*nix

For standard perl module installation in \*nix environment form source, to install all included modules, extract the files from the archive by entering this at a shell,

tar xvf PDL-Stats-xxx.tar.gz

then change to the PDL-Stats directory,

cd PDL-Stats-xxx

and run the following commands:

perl Makefile.PL
make
make test
sudo make install

If you don't have permission to run sudo, you can specify an alternative path,

perl Makefile.PL PREFIX=/home/user/my_perl_lib
make
make test
make install

then add `/home/user/my_perl_lib` to your PERL5LIB environment variable.

If you have trouble installing PDL, you can look for help at the PDL wiki or PDL mailing list.

### Windows

Thanks to Sisyphus, Windows users can download and install the ppm version of PDL-Stats and all dependencies using the PPM utility included in ActiveState perl or Strawberry perl. You can also get the PPM utility from CPAN.

ppm install http://www.sisyphusion.tk/ppm/PGPLOT.ppd
ppm install http://www.sisyphusion.tk/ppm/PDL.ppd
ppm install http://www.sisyphusion.tk/ppm/PDL-Stats.ppd

## SUPPORT AND DOCUMENTATION

After installing, you can find documentation for the modules with the
perldoc command.

perldoc PDL::Stats
perldoc PDL::Stats::Basic

etc.

You can also look for information at:

Home
https://github.com/PDLPorters/PDL-Stats

Search CPAN
https://metacpan.org/dist/PDL-Stats

Mailing list (low traffic, open a GitHub issue instead)
https://lists.sourceforge.net/lists/listinfo/pdl-stats-help

If you notice a bug or have a request, please submit a report at

[https://github.com/PDLPorters/PDL-Stats/issues](https://github.com/PDLPorters/PDL-Stats/issues)

If you would like to help develop or maintain the package, please email me at the address below.

## COPYRIGHT AND LICENCE

Copyright (C) 2009-2012 Maggie J. Xiong

All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation as described in the file COPYING in the PDL distribution.