apply.labeldata.to.morphdata: Apply a label to morphometry data.

In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data

Description

This function will set all values in morphdata which are *not* part of the labeldata to NA (or whatever is specified by 'masked_data_value'). This is typically used to ignore values which are not part of the cortex (or any other label) during your analysis.

Usage

apply.labeldata.to.morphdata(morphdata, labeldata, masked_data_value = NA)

Arguments

morphdata	numerical vector, the morphometry data for one hemisphere
labeldata	integer vector or 'fs.label' instance. A label as returned by subject.label.
masked_data_value	numerical, the value to set for all morphometry data values of vertices which are *not* part of the label. Defaults to NA.

Value

numerical vector, the masked data.

See Also

Other label functions: apply.label.to.morphdata(), subject.lobes(), subject.mask(), vis.labeldata.on.subject(), vis.subject.label()

Other morphometry data functions: apply.label.to.morphdata(), group.morph.native(), group.morph.standard(), subject.morph.native(), subject.morph.standard()

neuroconductor/fsbrain documentation built on Sept. 16, 2020, 2:30 p.m.