Running Examples Requires corrplot [@corrplot2021] and corrr [@corrr2025] | Plotting a Correlation Matrix | Plotting Multiple Models | Adjusting for Multiple Comparisons | Examples with corrr package

Required Packages and Functions | 1. Figure 1: rmcorr and reg plot | 2. Figure 2: rmcorr vs OLS reg | 3. Figure 3: rmcorr w/data transformations | 4. Figure 4: Power curves | 5. Brain volume and age rmcorr and simple reg/cor results and Figure 5 | rmcorr and simple reg results | 6. Visual search rmcorr and simple reg/cor results and Figure 6 | Appendix C | Diagnostic Plot: Rmcorr and straight lines between points (not in paper)

Frequently Asked Questions | How to Calculate Power | power.rmcorr Example | Exact Degrees of Freedom Example | Approximate Degrees of Freedom Example | How to Extract the Slope and its Confidence Interval | isa Error | Transformations | Limitations | Change Over Time | Non-Linearity | Varying Slopes with Influential Observations and/or Unbalanced Data | Other Implementations of rmcorr | 1) rmcorrShiny: Web and Standalone App with a Graphical Interface [@marusich2021rmcorrshiny] | 2) Python: rm_corr in Pingouin [@vallat2018pingouin] | 3) Stata: RMCORR [@stata.rmcorr]

Running Code Below Requires: dplyr, esc, and patchwork | Example of Overfitting | Comparison to rmcorr | Levels of Analysis | Consequences of Overfitting: | Spurious Precision: Underestimation of Variability | Detecting Overfitting | Caveats | Prevelance of Pseudoreplication

Reproducible Example of Bootstrapping | Rmcorr effect size with Bootstrapped 95% Confidence Inverval | Sampling Distribution of Bootstrapped Effects

Running Examples Requires cocor | Independent Correlations | Correlated Correlations | Overlapping Correlations | Non-Overlapping Correlations

Confidence Interval Fix in 0.5.4 | Example with Slight Difference in CIs | Example with Substantial Difference in CIs | Another Slight Example: Same as Above with a Larger Sample Size

Running Example Requires gglm [@gglm] | Plotting Model Diagnostics

NaN estimates | Running Examples Requires ggExtra [@ggExtra] | Load data, visualize, and model | Add random noise | Caveats