rot d52dbbd9be | ||
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R/laydi | ||
bin | ||
debian | ||
doc | ||
icons | ||
laydi | ||
scripts | ||
test | ||
wiki | ||
workflows | ||
LICENSE | ||
Makefile.m4 | ||
README.md | ||
README.old | ||
configure | ||
run-laydi | ||
setup.py |
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
- Frequently Asked Questions
- Laydi help (the same as available through the help menu in the application.)
- Terminology