collayer.from.morphlike.data: Compute surface color layer from morph-like data.

In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data

Description

Compute surface color layer from morph-like data.

Usage

collayer.from.morphlike.data(
  lh_morph_data = NULL,
  rh_morph_data = NULL,
  makecmap_options = list(colFn = cm.seq()),
  return_metadata = FALSE
)

Arguments

lh_morph_data	numerical vector, can be NULL
rh_morph_data	numerical vector, can be NULL
makecmap_options	named list of parameters to pass to makecmap. Must not include the unnamed first parameter, which is derived from 'measure'.
return_metadata	logical, whether to return additional metadata as entry 'metadata' in the returned list

Value

named hemi list, each entry is a vector of color strings, one color per surface vertex. The coloring represents the morph data.

See Also

You can plot the return value using vis.color.on.subject.

Other surface color layer: collayer.bg.atlas(), collayer.bg.meancurv(), collayer.bg.sulc(), collayer.bg(), collayer.from.annotdata(), collayer.from.annot(), collayer.from.mask.data(), collayers.merge()

neuroconductor/fsbrain documentation built on Sept. 16, 2020, 2:30 p.m.