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A lightweight, interactive data analysis program for bilinear modeling (PCA and PLS)
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README.md

Laydi

Look At Your Data Interactively

Laydi is an acronym for look at your data interactively, which is what the program is aimed at. It is a lightweight data analysis program for bilinear modeling (PCA and PLS) with a strong focus on interactive use. Laydi is released under the GNU GPL and the latest development snapshot can be downloaded from https://git.pvv.ntnu.no/Projects/laydi.git

Features

  • Principal Component Analysis (PCA)
  • Partial Least Squares Regression (PLS)
  • L-shaped PLS regression (L-PLS)
  • Easy mapping of variables between plots, selections in one plot propagates to other plots.

Nonfeatures

  • Does not import arbitrary files. Files must be prepared in a (simple) file format prior to import.
  • Saving and loading of projects is not implemented. (Datasets can be saved and loaded, though, and plots can be exported)
  • Not very stable

Installation requirements

Laydi currently requires the following extra packages, available from apt on Debian and Ubuntu.

  • python2.4 or python2.5
  • python-glade2
  • python-gnome2
  • python-gtk2
  • python-matplotlib
  • python-scipy
  • python-numpy

Partially needed

  • python-networkx
  • python-pygraphviz

Download laydi

Laydi is not debianized. To download it, use the clone the git repo.

git clone https://git.pvv.ntnu.no/Projects/laydi.git

User documentation

Developer documentation