| collayer.bg.sulc {fsbrain} | R Documentation | 
Compute binarized sulcal depth surface color layer.
Description
Compute a binarized sulcal depth surface color layer, this is intended as a background color layer. You can merge it with your data layer using collayers.merge.
Usage
collayer.bg.sulc(
  subjects_dir,
  subject_id,
  hemi = "both",
  cortex_only = FALSE,
  bin_colors = c("#898989", "#5e5e5e"),
  bin_thresholds = c(0)
)
Arguments
subjects_dir | 
 character string, the FreeSurfer SUBJECTS_DIR.  | 
subject_id | 
 character string, the subject identifier.  | 
hemi | 
 character string, one of 'lh', 'rh', or 'both'. The latter will merge the data for both hemis into a single vector.  | 
cortex_only | 
 logical, whether to restrict pattern computation to the cortex.  | 
bin_colors | 
 vector of two character strings, the two colors to use.  | 
bin_thresholds | 
 vector of 1 or 2 double values, the curvature threshold values used to separate gyri from sulci.  | 
Value
a color layer, i.e., vector of color strings in a hemilist
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(),
collayer.from.annotdata(),
collayer.from.annot(),
collayer.from.mask.data(),
collayer.from.morphlike.data(),
collayers.merge()