Longitudinal clustering in kinesiology 2: the longclust package in R
DOI:
https://doi.org/10.63750/rr27aa25Keywords:
longitudinal clustering, multivariate repeated measures, cluster analysis, longitudinal model-based clustering, RAbstract
High variation is common in longitudinal kinesiology studies, as participants may respond differently to interventions. In the previous article, implementation of longitudinal k-means in R is used in tandem with repeated measures (multivariate) analysis of variance to understand overall change, and to discover hidden trajectories. The purpose of this article is to demonstrate how to analyze data using model-based clustering. The same synthetic dataset is analyzed, using the longclust package in R. Comparison with the kml and kml3d packages is discussed.
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Published
2026-05-30
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Copyright (c) 2026 Keston Lindsay (Author)
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How to Cite
Longitudinal clustering in kinesiology 2: the longclust package in R. (2026). Global Journal of Sport and Exercise Science (GJSES), 2(1). https://doi.org/10.63750/rr27aa25
