radiatR - Analysis and Visualisation of Headings and Trajectories in Circular Space

A complete pipeline for analysing directional data -- headings and trajectories in circular space. Supply a table of angles directly, or reconstruct headings from movement trajectories imported from 20+ tracking tools (EthoVision, DeepLabCut, SLEAP, TRex, ANY-maze, TrackMate, idtracker.ai, Ctrax, and others) via a unified dialect-based loader system, including multi-bodypart pose estimation with likelihood-weighted centroid. Derives per-trial heading directions using multiple rules (ring-crossing, distal point, pose body-axis, velocity-based, and more). Computes circular statistics including mean direction, resultant length, von Mises and wrapped Cauchy parametric fits, circular correlation (circular-linear and circular-circular), and multi-sample hypothesis tests (Watson-Williams, Rayleigh, and others) with multiple-comparison correction. Renders publication-quality ggplot2 radial plots with overlaid rose diagrams, parametric density curves, and non-parametric kernel density estimates. Includes a browser-based graphical interface requiring no R coding via launch_app().