rmcorr: Repeated Measures Correlation Example Datasets

Several example datasets are included for demonstrating the repeated measures correlation technique, first introduced by Bland and Altman in 1995. The associated R package provides functions for computing this correlation, diagnostics, p-values, effect sizes with confidence intervals, and graphing. The package and its documentation were authored by Jonathan Z. Bakdash and Laura R. Marusich, with a key paper published in 2017.

Use Cases

• Teaching the repeated measures correlation method based on the included example datasets.
• Validating custom implementations of the rmcorr algorithm against the provided functions.
• Creating publication-ready visualizations of within-individual relationships based on the graphing functions.
• Calculating effect sizes and confidence intervals for repeated measures designs based on the statistical functions.

Strengths

• Includes functions for p-values, effect sizes with confidence intervals, and bootstrapping.
• Provides example datasets for demonstration and validation purposes.
• Based on a peer-reviewed statistical method with citations to foundational (1995) and implementation (2017) papers.

Limitations

• Row count and scale of the example datasets are unknown.
• Column-level documentation for the example data is absent; field semantics must be inferred.
• Last update date for the dataset is unknown; freshness unverified.

Provenance

Source

Jonathan Z. Bakdash and Laura R. Marusich via the rmcorr R package.

Collection Method

Likely created or compiled for demonstration purposes within the software package.