Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This is a short python module that provides a single function that computes the sample entropy of normalized-time x-coordinate vector x, with tolerance r, and window size m (to be compared with m + 1). Researchers need only import their data into Python, where each trajectory is either a list or NumPy array x. This function may then be used to obtain Sample Entropy per trajectory, to be used in statistical analyses. Recommended tolerance r is the standard deviation of x-shifts (Δx) across conditions, which may be calculated using the NumPy standard deviation function std() and the x-shifts function in this module xshifts(). This module isfor use with Python 2.7 or greater, and both NumPy and Math modules in Python.

Files

Loading files...

Citation

Recent Activity

Loading logs...