geom_outline or geom_brain layerunify_scales = TRUEggbrain objects can be added together,
allowing common parts across plots to be reusedgeom_outline now supports dilation and erosion
using the dil_ero argumentgeom_region_label* and
geom_region_text* now support a min_px
argument that controls the minimum number of pixels on a slice that will
result in a label. Helps reduce labeling of small regionsfill_holes algorithm is appliedfill_holes now takes the
mean of neighbors for continuous-valued dataremove_specks for a categorical imagedefine() function to support contrast
definition in ggbrain pipeline outside of a given layergeom_brain using
geom_brain(fill='color_here')images() supports a volumes
argument so that volumes from 4-D images can be visualizedplot() on a ggbrain object supports
guides argument that passes to plot_layout()
in patchwork. Also, the default is now
guides="collect", which combines shared legends.min_coord and max_coord
in montage function for coordinate-based rangesadd_images() is now images() for
nonredundancyadd_slices() is now slices() for
nonredundancyoutline_size to just size
in geom_outline for consistency with ggplot2 logic (e.g.,
geom_contour).add_slice() in favor of
slices(). If attributes such as bg_color are
set by slices(), these will be the same for each slice in
the operation.geom_outline for continuous
imagesfill_holes,
trim_threads, and remove_specks to
ggbrain_layer – exposed in geom_brain and
geom_outline. This allows these modifications to be made
for contrast layers.geom_brain and
geom_outline objects. Uses flood fill algorithm to find
interior holes, then uses nearest neighbor imputation, taking the mode
for categorical images and mean for continuous images.alpha=<number> syntaxgeom_outline(mapping=aes(group=<label_col>))
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