complexity

Complexity measures quantify the irregularity, unpredictability, and multiscale structure of time series signals. NeuroKit2 provides comprehensive entropy, fractal dimension, and nonlinear dynamics measures for assessing physiological…

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/complexity && curl -fsSL https://doutorai.pt/data/lib/skills__complexity.md -o .claude/skills/complexity/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Complexity and Entropy Analysis

## Overview

Complexity measures quantify the irregularity, unpredictability, and multiscale structure of time series signals. NeuroKit2 provides comprehensive entropy, fractal dimension, and nonlinear dynamics measures for assessing physiological signal complexity.

## Main Function

### complexity()

Compute multiple complexity metrics simultaneously for exploratory analysis.

```python
complexity_indices = nk.complexity(signal, sampling_rate=1000, show=False)
```

**Returns:**
- DataFrame with numerous complexity measures across categories:
  - Entropy ind

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