This research data contains softwares with different licenses. Please cite it with the url https://doi.org/10.12752/8257.
The following permanent link points to ziped simulation data and ziped sample figures for the MATH+ project EF5-4 (linked here ).
The simulation data has been produced by N. Alexia Raharinirina and Marcus Weber at Zuse-Institut Berlin, Takustr. 7, D-14195 Berlin, Germany.
1) Correspondence Analysis Python Software has been designed to be suitable for users from any disciplines. Two correspondence analysis methods are provided: the Standard Correspondence Analysis (Methods/ca.py) and a Markov Chain Model Correspondence Analysis (Methods/mcmca.py).