EEG code

README.md

@@ -1,8 +1,39 @@
-# Cognitive2Computation
 
- ## Experimental Design
+# Cognitive2Computation
+[![LinkedIn](https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555)](https://www.linkedin.com/in/yufang-w-1295881b5/) [![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white&colorB=555)](https://github.com/Yufanggg) <img alt="GitHub" src="https://img.shields.io/github/license/bopith/UnicornCompanies?style=for-the-badge"> 
 
- ### Power Analysis
- To conduct a [Power Analysis](./DOE.Rmd) to have a general idea about the 2-by-2 experimental design within subject and target word (which are fully crossed). See the result as following: 
+## Overview
+This repository contains the stimulated power analysis under linear mixed modelling setting, TFCE under linear mixed modelling setting. 
+
+This project is updated from codes used in my PhD work (from cognition to computation: an insight from word production) and aims to address the following research related questions:
+1. How to calculate the sample size in the experimental design with two fully-crossed random variables (e.g., within subject and within target word experimental design).
+2. How to extract the relationship of word patterns from a large-scale corpus?
+3. How to conduct the testing for datasets under high-dimensional setting (e.g., EEG data)?
+
+
+## Table of Contents
+
+- [Experimental Design](#ExperimentalDesign)
+- [Installation](#installation)
+- [Data](#Data)
+- [Project Structure](#project-structure)
+- [Results](#Results)
+
+## Requirments
+To run this Project, you will need the following:
+- R (> 3.6)
+<!-- - lmer (install.library("lmer")) 
+- lmerTest (install.library(")) --> 
+
+## Installation
+
+## Experimental Design
+
+### Power Analysis
+With a given experimental materials, a [Power Analysis](./DOE.Rmd) was conducted to validate the number of participants. See the an example result for 2-by-2 experimental design within subject and target word (which are fully crossed) as following: 
 ![alt text](./Images/PowerCurve.jpg)
 
+## Data Analysis
+### Behavioral Data Analysis
+### EEG data Analysis
+