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ggdist 3.0.0
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@mjskay mjskay released this 19 Jul 21:31
· 632 commits to master since this release
v3.0.0
8a435c9

Breaking changes:

  • The positioning of geom_slabinterval() family geoms when using position_dodge()
    is now slightly different in order to match up with how other geoms are positioned (#85).
    This may slightly change existing charts that use position = "dodge", and in
    some cases may cause slabs to be drawn slightly outside plot boundaries, but makes
    it much easier to combine geom_slabinterval() with other geoms in the expected
    way. If dodging more similar to the old approach is needed, use the new
    "justification-preserving dodge", position_dodgejust(), in place of position_dodge().

New features:

  • For geom_slabinterval(), side, justification, and scale can now be
    used as aesthetics instead of parameters, allowing them to vary across slabs
    within the same geom.
  • Varying fills within a slab in geom_slabinterval() can now be drawn as
    true gradients rather than segmented polygons in R >= 4.1 by setting
    fill_type = "gradient". This substantially improves the appearance of
    gradient fills in graphics engines that support it (#44).
  • Improved support for discrete distributions:
    • stat_dist_slabinterval() and company now detect discrete distributions and
      display them as histograms (#19).
    • geom_dotsinterval() now adjusts bin widths on discrete distributions when
      they would result in bins that are taller than the allocated space to ensure
      that they fit within the required space (#42).
  • Allow user-specified lower and/or upper bounds on dynamic geom_dotsinterval()
    bin width by passing a vector of two values to the binwidth parameter.
  • The automatic bin selection algorithm used by geom_dotsinterval() has been
    factored out and exported as find_dotplot_binwidth() and bin_dots() for
    others to use (#77).
  • Previously, curve_interval() used a common (but naive) approach to finding
    a cutoff on data depth to identify the X% "deepest" curves, simply taking the
    envelope around the X% quantile of curves ranked by depth. This is quite
    conservative and tends to create intervals that are too wide; curve_interval()
    now searches for a cutoff in data depth such that X% of curves are contained
    within its envelope (#67).
  • point_interval() and company now accept distributional objects and
    posterior::rvar()s (full support for distributional objects requires
    distributional > 0.2.2).
  • Reduce dependencies substantially, making the geoms more suitable for use by
    other packages (thanks to Brenton Wiernik for the help).

New documentation:

  • Substantial improvements to the documentation of aesthetics and computed
    variables in geom_slabinterval(), stat_slabinterval(), and company, listing
    all custom aesthetics, computed variables, and their usage.

  • Several new examples in vignette("slabinterval"), including "rain cloud"
    plots and an example of histograms for discrete analytical distributions.

Bug fixes:

  • Ensure stat_dist_slabinterval() preserves group order (#88).
  • Improve test coverage up to ~96%.
  • Restore computed variable n for stat_sample_slabinterval().
  • Various improvements in correct NA handling across the geoms (#74, #51).
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