Plot atlas annotations for a group of subjects.

Plot atlas annotations for a group of subjects and combine them into a single large image.

Usage

vis.group.annot(
  subjects_dir,
  subject_id,
  atlas,
  view_angles = "sd_dorsal",
  output_img = "fsbrain_group_annot.png",
  num_per_row = 5L,
  captions = subject_id,
  rglactions = list(no_vis = TRUE),
  ...
)

Arguments

subjects_dir: string. The FreeSurfer SUBJECTS_DIR, i.e., a directory containing the data for all your subjects, each in a subdir named after the subject identifier.
subject_id: vector of character strings, the subject identifiers
atlas: vector of character strings, the atlas names. Example: c('aparc', 'aparc.a2009s')
view_angles: see get.view.angle.names.
output_img: character string, the file path for the output image. Should end with '.png'.
num_per_row: positive integer, the number of tiles per row.
captions: optional vector of character strings, the short text annotations for the individual tiles. Typically used to plot the subject identifier.
rglactions: named list. A list in which the names are from a set of pre-defined actions. The values can be used to specify parameters for the action. The following example clips outliers in the data before plotting and writes a screenshot in PNG format: rglactions = list("snapshot_png"="~/fsbrain.png", "clip_data"=c(0.05, 0.95)). See rglactions.
...: extra parameters passed to the subject level visualization function. Not all may make sense in this context. Example: surface='pial'.

Value

named list, see the return value of arrange.brainview.images.grid for details.

Note

The subjects are plotted row-wise, in the order in which they appear in the 'subject_id' parameter. This function is vectorized over 'subject_id' and 'atlas'.

Plot atlas annotations for a group of subjects.

Usage

Arguments

Value

Note

See also