A data manipulation library for statistical computing
Data frames for Common Lisp. A two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column
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Table of Contents
About the Project
A data frame is a two dimensional data structure structure whose columns may be of differing types. It is similar to, and may be manipulated as, a Common Lisp array. Data frames hold tightly coupled collections of variables that all belong to one experiment.
To get a local copy up and running follow these steps:
An ANSI Common Lisp implementation. Developed and tested with SBCL.
Lisp-Stat is composed of several system that are designed to be
independently useful. So you can, for example, use
any project needing to manipulate two dimensional data in a machine
learning or statistical setting.
Getting the source
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:
- 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
- Reset the ASDF source-registry to find the new system (from the REPL)
- Load the system
If you have installed the slime ASDF extensions, you can invoke this with a comma (',') from the slime REPL in emacs.
(clpm-client:sync :sources "clpi") ;sources may vary
You need do this only once. After obtaining the dependencies, you can
load the system with
ASDF as described above without first syncing
Create a data frame:
(make-df '(:a :b) '(#(1 2 3) #(10 20 30)))
For more examples, please refer to the Documentation.
See the open issues for a list of proposed features (and known issues).
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.md 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/data-frame