Visualize Individual Longitudinal Trajectories

A 'ggplot2'-based toolkit for visualizing individual-level longitudinal trajectories. Creates linear kodom plots, circular kodom plots, heatmaps, and state-ribbon charts for repeated-measures data. Each subject gets its own visual lane with measurements colored by value, revealing patterns across subjects and time. The circular variant resembles the Kodom flower.


Reference manual

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install.packages("ggkodom")

1.0.3 by Subhrajyoty Roy, 4 months ago


Browse source code at https://github.com/cran/ggkodom


Authors: Ayoushman Bhattacharya [aut] , Sayan Das [aut] , Subrata Pal [aut] , Subhrajyoty Roy [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, rlang, scales

Suggests testthat, lme4, mgcv, refund, fdapace, patchwork, knitr, rmarkdown, spelling


See at CRAN