Repeated-Measures Data Reshaping and Visualization
Audit repeated-measures records, transform wide and long formats, verify values and types, describe observations by wave and person, and create analysis-ready exports.
Explore workflow →LONGITUDINAL FOUNDATIONS · THREE WORKFLOWS
Structure the data.
Model change clearly.
Begin with repeated-measures reshaping, build a linear growth model, then probe a time-by-moderator interaction. Each workflow includes all editable R code.
See all premium workflows →Growth Modeling Basics
Build from an unconditional means model to random-intercept and random-slope growth, then estimate conditional change with confidence-banded trajectories.
Explore workflow →Probing Interactions in Growth Models
Estimate a time-by-moderator interaction, center the moderator using one value per person, calculate conditional slopes, and visualize change across observed support.
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