RDF documentation,
continuous analysis

(1) The approach
each trajectory, noisy discrete or continuous in character, can be subject to continous general analysis .
In this 7 step analysis, we focus on the creating simple model having one or more potential profiles, where these interact with each other via simple nearest neighbor interactions .
in case these rates are very fats, the potential profiles are merged to one multi-basin-profile


(2) the functions,
load and view the data
pdf of each segment
simple properties from the data
the exponential fit
rank
filter noise
Create the continous model of the trajectory


(3) Various more comments,
this simple analysis is very general , it is a characterization of the data among other options, yet very telling since it has discrete properties and continous properties and it is built from data based analysis
the results are the pdf rates, and the ranks, and the interaction rates