RecurrenceNetwork Tutorial

[fkuehlein]

committed changes:

• Logistic Map:
  • included spinup in timeseries calculation
  • show both fixed threshold_std and fixed recurrence_rate (hardly any difference in results, if both have the same value)
• Lorenz-attractor:
  • included spinup in calculation of timeseries to avoid 0. and 1. values in clustering dimension
  • tried to simplify/cleanup the code not relevant to understand pyunicorn (e.g. timeseries calculation, plots)
  • corrected calculation of GCD
  • Transitivity:
    • cleaned up function for epsilon variation, included progress display
    • removed double calculation of RP
    • changed variation of EPS to variation of RR
  • substituted pylab with matplotlib.pyplot
  • removed unnecessary imports
  • loops for timeseries calculation now based on python lists instead of numpy arrays for better performance
  • substituted latex.codecogs links with inline LaTeX equations
  • corrected typos

[fkuehlein]

Note: This should probably be squash-merged