58 lines
1.7 KiB
Markdown
58 lines
1.7 KiB
Markdown
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# Laydi
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## Look At Your Data Interactively
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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
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## Features
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- Principal Component Analysis (PCA)
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- Partial Least Squares Regression (PLS)
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- L-shaped PLS regression (L-PLS)
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- Easy mapping of variables between plots, selections in one plot propagates to other plots.
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## Nonfeatures
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- Does not import arbitrary files. Files must be prepared in a (simple) file format prior to import.
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- Saving and loading of projects is not implemented. (Datasets can be saved and loaded, though, and plots can be exported)
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- Not very stable
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## Installation requirements
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Laydi currently requires the following extra packages, available from apt on Debian and Ubuntu.
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- python2.4 or python2.5
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- python-glade2
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- python-gnome2
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- python-gtk2
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- python-matplotlib
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- python-scipy
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- python-numpy
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Partially needed
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- python-networkx
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- python-pygraphviz
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## Download laydi
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Laydi is not debianized. To download it, use the clone the git repo.
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```console
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git clone https://git.pvv.ntnu.no/Projects/laydi.git
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```
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## User documentation
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- [Frequently Asked Questions](./wiki/faq.md)
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- [Laydi help](./wiki/help.md) (the same as available through the help menu in the application.)
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- [Terminology](./wiki/Terminology.md)
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## Developer documentation
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- [Developer tips and tricks](./wiki/development/hints.md)
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