Statistics with R

  1. Correlation Analysis
    1. Correlation Concepts
      1. Linear Relationships
        1. Strength and Direction
          1. Correlation vs Causation
          2. Pearson Correlation
            1. Assumptions
              1. Calculation
                1. Interpretation
                  1. Significance Testing
                    1. Implementation in R
                    2. Spearman Rank Correlation
                      1. When to Use
                        1. Calculation
                          1. Implementation in R
                            1. Comparison with Pearson
                            2. Kendall's Tau
                              1. Calculation
                                1. Implementation
                                  1. When to Use
                                  2. Partial Correlation
                                    1. Controlling for Third Variables
                                      1. Implementation
                                      2. Correlation Matrices
                                        1. Multiple Variables
                                          1. Visualization
                                            1. Missing Data Handling
                                            2. Correlation Assumptions and Diagnostics
                                              1. Linearity
                                                1. Outliers
                                                  1. Restriction of Range

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                                                19. Analysis of Variance (ANOVA)

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                                                21. Simple Linear Regression