Learn how to explore and visualize longitudinal data using R! 📊 🎯
In this tutorial, I’ll walk you through Exploratory Data Analysis (EDA) for longitudinal data, step by step. You’ll learn how to uncover trends, outliers, and correlations before fitting advanced models like linear mixed effects or GEE.
🔹 Topics Covered:
• What is EDA in longitudinal data?
• Visualizing individual trajectories (Spaghetti Plots)
• Comparing group trends (Control vs Treatment)
• Correlation matrices for repeated measures
• Detecting outliers and missing data
This video is perfect for students, researchers, and data analysts who want to understand how subjects change over time and how to visualize that story with R. 💡🎯
💬 Comment your biggest challenge with analyzing longitudinal data?
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