A statistical computing environment for Common Lisp

lisp-stat

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<br />
<p align="center">
  <a href="https://github.com/lisp-stat/lisp-stat">
    <img src="https://lisp-stat.dev/images/stats-image.svg" alt="Logo" width="80" height="80">
  </a>

  <h3 align="center">Lisp-Stat</h3>

  <p align="center">
	An environment for statistical computing
	<br />
    <a href="https://lisp-stat.dev/docs/"><strong>Explore the docs »</strong></a>
    <br />
    <br />
    <a href="https://github.com/lisp-stat/lisp-stat/issues">Report Bug</a>
    ·
    <a href="https://github.com/lisp-stat/lisp-stat/issues">Request Feature</a>
    ·
    <a href="https://lisp-stat.github.io/lisp-stat/">Reference Manual</a>
  </p>
</p>




<details open="open">
  <summary><h2 style="display: inline-block">Table of Contents</h2></summary>
  <ol>
    <li>
      <a href="#about-the-project">About the Project</a>
      <ul>
        <li><a href="#built-with">Built With</a></li>
      </ul>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
      <ul>
        <li><a href="#prerequisites">Prerequisites</a></li>
        <li><a href="#installation">Installation</a></li>
      </ul>
    </li>
    <li><a href="#usage">Usage</a></li>
    <li><a href="#roadmap">Roadmap</a></li>
	<li><a href="#resources">Resources</a></li>
    <li><a href="#contributing">Contributing</a></li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>




## About the Project

  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](https://en.wikipedia.org/wiki/Read%E2%80%93eval%E2%80%93print_loop)),
  an excellent object-oriented facility
  ([CLOS](https://en.wikipedia.org/wiki/Common_Lisp_Object_System))
  and meta-object protocol
  ([MOP](https://en.wikipedia.org/wiki/Metaobject#Metaobject_protocol)).

   Lisp-Stat is fully functional today, and most of the [XLISP-STAT
   libraries](https://github.com/Lisp-Stat/xls-archive) can be ported
   with the aid of a compatibility package
   [XLS-compat](https://github.com/Lisp-Stat/XLS-compat).  This gives
   Lisp-Stat a leg up on ecosystem development.


### Built With

* [data-frame](https://github.com/Lisp-Stat/data-frame)
* [dfio](https://github.com/Lisp-Stat/dfio)
* [numerical-utilities](https://github.com/Lisp-Stat/numerical-utilities)
* [special-functions](https://github.com/Lisp-Stat/special-functions)
* [array-operations](https://github.com/Lisp-Stat/array-operations)
* [let-plus](https://github.com/sharplispers/let-plus)



## Getting Started

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

### Prerequisites

An ANSI Common Lisp implementation. Developed and tested with
[SBCL](https://www.sbcl.org/) ~~and
[CCL](https://github.com/Clozure/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](https://github.com/Clozure/ccl/issues/390) for just one of the problems. A shame, because it's a great environment to work in.

### Installation

Lisp-Stat is composed of several systems that are designed to be
independently useful.  So you can, for example, use
[select](https://github.com/Lisp-Stat/select) to obtain selections
from two dimensional arrays without bringing in all of Lisp-Stat.

#### The easy way

lisp-stat has many dependencies, and the easiest way to load it is with a package manager, such as [Quicklisp](https://www.quicklisp.org/beta/) or [CLPM](https://www.clpm.dev/).  The install is a one-liner:

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

```lisp
(ql:quickload :lisp-stat)
```

#### From source

To make the system accessible to [ASDF](https://common-lisp.net/project/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
```sh
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
```
**Note:** If you've installed lisp with [Roswell](https://roswell.github.io/),
first run `cd ~/.roswell/lisp/quicklisp/local-projects` and *then* run the git
clone commands. The instance of ASDF that roswell installs will already be
configured to look in that directory when loading lisp systems (a.k.a. packages, in the
parlance of most other programming languages).

2. Reset the ASDF source-registry to find the new system (from the REPL)
   ```lisp
   (asdf:clear-source-registry)
   ```
3. Load the system
   ```lisp
   (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.

### Running Tests

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



## Usage

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

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

```

For more examples, please refer to the
[Documentation](https://lisp-stat.dev/docs/).



## Roadmap

See the [open issues](https://github.com/lisp-stat/lisp-stat/issues) for a list of proposed features (and known issues).

## Resources

This system is part of the [Lisp-Stat](https://lisp-stat.dev/) project; that should be your first stop for information. Also see the 
[community](https://lisp-stat.dev/community) page for more
information.


## Contributing

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](CONTRIBUTING.md) for details on the code of conduct, and the process for submitting pull requests.


## License

Distributed under the MS-PL License. See [LICENSE](LICENSE) for more information.




## Contact

Project Link: [https://github.com/lisp-stat/lisp-stat](https://github.com/lisp-stat/lisp-stat)





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alexandria

array-operations

cl-semver

data-frame

dfio

num-utils

select

split-sequence

cl-ascii-table

cl-csv

dexador

make-hash

API for manipulating data sets from R packages

Load Rdatasets from github into a data structure and provide access functions. See https://github.com/vincentarelbundock/Rdatasets/tree/master/csv

lisp-stat/rdata

parachute

lisp-stat/tests

lisp-stat

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lisp-stat

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