Metadata-Version: 2.0
Name: hoggormplot
Version: 0.9.0
Summary: Plotting functions for visualisation of data analysis results from the hoggorm package
Home-page: https://github.com/olivertomic/hoggormPlot
Author: Oliver Tomic
Author-email: olivertomic@zoho.com
License: BSD License
Keywords: statistic education science
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: hoggorm
Requires-Dist: matplotlib
Requires-Dist: pandas

hoggormplot
===========

hoggormplot is a python package that contains simple plotting functions for visualisation of data analysis results from the hoggorm package. 

Hoggorm is a Python package for explorative multivariate statistics in Python. It contains PCA (principal component analysis), PCR (principal component regression), PLSR (partial least squares regression) and the matrix corrlation coefficients RV and RV2.


Installation
------------

.. code-block:: bash

	pip install hoggormplot


Requirements
------------

- hoggorm
- matplotlib


Documentation
-------------

hoggormplot contains the following scripts for showcasing the use of the plotting functions for each of the implemented analysis methods:

- TEST_pca.py
- TEST_pcr.py
- TEST_pls1.py
- TEST_pls2.py

You can run this code by typing this on the commandline:

.. code-block:: bash

	python -m hoggormplot.TEST_pca
	python -m hoggormplot.TEST_pcr
	python -m hoggormplot.TEST_pls1
	python -m hoggormplot.TEST_pls2


The content of these files will later be moved to Ipython notebooks for easier exploration.


Latest changes
--------------

None.


