The behavior of a dynamic system, be it biological or socio-technical, frequently resembles a series of logistic wavelets, or “loglets.” Loglet analysis involves the decomposition of growth and diffusion patterns into S-shaped logistic components. In the easiest cases, a loglet appears as a single S-shaped curve. LogletLab is designed for use with user data to help users analyze and decompose growth processes.
LogletLab software has gone through several development cycles since the initial release of LogletLab 1 in 1998 straight through to the recent release of LogletLab 4.1, an online tool with extensive statistical analysis capabilities built in. The most recent edition of LogletLab 4.1 offer users numerous new features including an extended selection of fitting functions and advanced statistical analysis.
All versions of LogletLab are available free of charge.
Click here to access LogletLab 4
Here is an example, the space shuttle launch history.
https://ll4.ddns.net:8000/?page=index&preload=library.get.288
Thanks to David Burg, Eyal Schachter, Perrin Meyer, Jason Yung, Iddo Wernick, and Alan Curry.