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An environment for statistical computing
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Lisp-Stat provides support for vectorized mathematical operations, and a comprehensive set of statistical methods that are implemented using the latest numerical algorithms. In addition, Common Lisp provides a dynamic programming environment (REPL), an excellent object-oriented facility (CLOS) and meta-object protocol (MOP).

Lisp-Stat is fully functional today, and most of the XLISP-STAT libraries can be ported with the aid of a compatibility package XLS-compat. This gives Lisp-Stat a leg up on ecosystem development.

• data-frame
• dfio
• numerical-utilities
• special-functions
• array-operations
• let-plus

To get a local copy up and running follow these steps:

An ANSI Common Lisp implementation. Developed and tested with SBCL and CCL.

Note: CCL is in poor condition these days, and we no can longer support it due to some serious problem with numerical accuracy. See issue 390 for just one of the problems. A shame, because it's a great environment to work in.

Lisp-Stat is composed of several systems that are designed to be independently useful. So you can, for example, use select to obtain selections from two dimensional arrays without bringing in all of Lisp-Stat.

Quicklisp has many dependencies, and the easiest way to load it is with a package manager, such as Quicklisp or CLPM. The install is a one-liner:

(clpm-client:sync :sources "clpi") ;sources may vary

(ql:quickload :lisp-stat)

To make the system accessible to ASDF (a build facility, similar to make in the C world), clone the repository in a directory ASDF knows about. By default the common-lisp directory in your home directory is known. Create this if it doesn't already exist and then:

1. Clone the repositories

cd ~/common-lisp && \
git clone https://github.com/Lisp-Stat/data-frame.git && \
git clone https://github.com/Lisp-Stat/dfio.git && \
git clone https://github.com/Lisp-Stat/special-functions.git && \
git clone https://github.com/Lisp-Stat/numerical-utilities.git && \
git clone https://github.com/Lisp-Stat/array-operations.git && \
git clone https://github.com/Lisp-Stat/documentation.git && \
git clone https://github.com/Lisp-Stat/distributions.git && \
git clone https://github.com/Lisp-Stat/plot.git && \
git clone https://github.com/Lisp-Stat/select.git && \
git clone https://github.com/Lisp-Stat/cephes.cl.git && \
git clone https://github.com/Symbolics/alexandria-plus && \
git clone https://github.com/Lisp-Stat/statistics.git && \
git clone https://github.com/Lisp-Stat/lla.git && \
git clone https://github.com/Lisp-Stat/smoothers && \
git clone https://github.com/Lisp-Stat/lisp-stat.git

2. Reset the ASDF source-registry to find the new system (from the REPL)

   (asdf:clear-source-registry)

3. Load the system

   (asdf:load-system :lisp-stat)

If you have installed the slime ASDF extensions, you can invoke this with a comma (',') from the slime REPL.

You'll need to use Quicklisp, CLPM or manually obtain the remaining third-party dependencies.

To run the lisp-stat tests, evaluate this form: (asdf:test-system :lisp-stat)

Create a data frame from a file named sg-weather.csv on the local disk:

(defparameter *df*
	(read-csv #P"LS:DATA;sg-weather.csv"))

For more examples, please refer to the Documentation.

See the open issues for a list of proposed features (and known issues).

This system is part of the Lisp-Stat project; that should be your first stop for information. Also see the community page for more information.

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated. Please see CONTRIBUTING for details on the code of conduct, and the process for submitting pull requests.

Distributed under the MS-PL License. See LICENSE for more information.

Project Link: https://github.com/lisp-stat/lisp-stat