You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This commit was created on GitHub.com and signed with GitHub’s verified signature.
New features
New test_gof() tests whether a sample of headings fits a wrapped Cauchy
distribution (Watson's U^2 on the probability-integral transform, with a
parametric-bootstrap p-value), closing the wrapped-Cauchy half of the
non-von-Mises goodness-of-fit gap. Jones-Pewsey GOF remains deferred.
test_uniformity() gains test = "pycke", the Pycke (2010) omnibus
uniformity test — like Hermans-Rasson, powerful against multimodal and
asymmetric departures from uniformity, with a Monte-Carlo p-value.
Bug fixes
radiate() no longer labels every trajectory by its id when a plot has many
tracks. The automatic fallback to the id/group column now applies only when
that column has at most 12 distinct values, so many-track plots (e.g. the
235-trial cpunctatus) render cleanly instead of being buried under
overlapping trial-id labels. Pass label_col explicitly to force labelling
regardless of track count.
radiate(clip_tracks = TRUE) (the default) now also clips beyond-circumference
overshoot in the absolute frame (coords = "absolute"), not just the
relative frame. The relative frame is a rotation of the absolute one, so rho is identical in both; the previous relative-only restriction let coords = "absolute" plots (e.g. in the package vignette) draw tracks
visibly outside the unit circle.
get_all_object_pos() now reports out-of-bounds track points (radius > 1)
with a single aggregated message across the whole manifest, instead of one
message per file.
App
Summary & stats now has a "Group comparison" card: test_mean_directions, test_concentration, and test_distributions run automatically across the
selected Group-by column, showing whether groups differ in mean direction,
concentration, or overall distribution (not just whether each is
individually non-uniform).