See cifti.axis.scalars; a labels axis is the same thing with
integer label keys instead of scalar values, and it stores the label table that
defines the keys.
Arguments
- names
character vector or
NULL, the map names. The number of maps is the number of names, so this has to be given (use empty strings for unnamed maps).- label_tables
list of label tables or
NULL, one per map. Each label table is a data.frame with the columns 'key' (integer), 'red', 'green', 'blue', 'alpha' (numeric in the range 0 to 1) and 'label' (character string), i.e. the format thatcifti.label.tablereturns.NULLentries are allowed for maps without a label table.- metadata
list of metadata lists or
NULL, one per map. Each metadata list is a named list of character strings, as returned for a map byread.cifti.header. This is used for the palette information that Connectome Workbench stores per map.
Value
a named list with the entries 'type' and 'named_maps', an axis to be passed to
cifti.header.from.axes or write.cifti.
See also
Other cifti functions:
cifti.axis.brain.models(),
cifti.axis.from.template(),
cifti.axis.parcels(),
cifti.axis.parcels.from.annot(),
cifti.axis.scalars(),
cifti.axis.series(),
cifti.brain.model.surface(),
cifti.brain.model.volume(),
cifti.dim.labels(),
cifti.file.type.for.axes(),
cifti.grayordinates(),
cifti.header.from.axes(),
cifti.label.table(),
cifti.parcel(),
cifti.parcels(),
cifti.series.info(),
cifti.structure.data(),
cifti.structures(),
cifti.volume(),
print.fs.cifti(),
print.fs.cifti.data(),
print.fs.connectome(),
read.cifti(),
read.cifti.header(),
read.cifti.rows(),
read.fs.connectome.cifti(),
write.cifti(),
write.fs.connectome.cifti(),
write.fs.morph.cifti(),
write.fs.parcellated.cifti(),
write.fs.parcellation.cifti(),
write.fs.series.cifti()