Plot standard space data for a group of subjects onto a template brain and combine the tiles into a single large image.
vis.data.on.group.standard(
subjects_dir,
vis_subject_id,
morph_data_both,
captions = NULL,
view_angles = "sd_dorsal",
output_img = "fsbrain_group_morph.png",
num_per_row = 5L,
rglactions = list(no_vis = TRUE),
...
)character string, the path to the SUBJECTS_DIR containing the template subject
character string, the template subject name. A typical choice is 'fsaverage'.
named list of numerical vectors, 4D array or dataframe, the morph data for both hemispheres of all subjects. Can be loaded with group.morph.standard or group.morph.standard.sf.
optional vector of character strings, the short text annotations for the individual tiles. Typically used to plot the subject identifier.
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.
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.group.annot(),
vis.group.coloredmeshes(),
vis.group.morph.native(),
vis.group.morph.standard()