Correlation Analysis in R with psych Package | Easy r & p-value Calculation (Batch 81

Welcome to Batch 81 of our R Programming series! In this tutorial, you’ll learn how to perform correlation analysis in R using the psych package, which provides powerful tools to compute correlation matrices, significance levels (p-values), and detailed summaries. 🔍 What You’ll Learn: What is correlation and when to use it Installing and loading the psych package Using corr.test() to get correlation coefficients and p-values How to interpret Pearson, Spearman, and Kendall correlation Visualizing correlations with heatmaps or tables ✅ This tutorial is ideal for students, researchers, and data analysts using R for statistical analysis and report-ready outputs. 📌 Timestamps: 00:00 Introduction to Correlation 00:45 Install & load psych package 01:30 Perform correlation analysis with corr.test() 03:00 Interpret r and p-values 04:30 Select method: Pearson, Spearman, Kendall 05:30 Visualize correlation matrix 06:30 Export results for reporting 08:00 Summary & final tips 🔔 Like, Comment & Subscribe for more detailed R tutorials from Batch 81! #RProgramming #psychPackage #CorrelationAnalysis #Batch81 #corrTest #DataScienceR #LearnR