Plot native space morphometry data for a group of subjects and combine them into a single large image.
vis.group.morph.native(
subjects_dir,
subject_id,
measure,
view_angles = "sd_dorsal",
output_img = "fsbrain_group_morph.png",
num_per_row = 5L,
captions = subject_id,
rglactions = list(no_vis = TRUE),
...
)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.
vector of character strings, the subject identifiers
vector of character strings, the morphometry measures, e.g., c('thickness', 'area')
see get.view.angle.names.
character string, the file path for the output image. Should end with '.png'.
positive integer, the number of tiles per row.
optional vector of character strings, the short text annotations for the individual tiles. Typically used to plot the subject identifier.
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'.
named list, see the return value of arrange.brainview.images.grid for details.
Other group visualization functions:
vis.data.on.group.native(),
vis.data.on.group.standard(),
vis.group.annot(),
vis.group.coloredmeshes(),
vis.group.morph.standard()