label.to.annot | R Documentation |
Merge several labels and a colortable into an annotation.
label.to.annot(
label_vertices_by_region,
num_vertices_in_surface,
colortable_df = NULL,
index_of_unknown_region = 1L
)
label_vertices_by_region |
named list of integer vectors, the keys are strings which define region names, and the values are integer vectors: the vertex indices of the region. |
num_vertices_in_surface |
integer, total number of vertices in the surface mesh |
colortable_df |
NULL or dataframe, a colortable. It must contain the columns 'struct_name', 'r', 'g', 'b', and 'a'. All other columns will be derived if missing. The entries in 'struct_name' must match keys from the 'label_vertices_by_region' parameter. There must be one more row in here than there are labels. This row identifies the 'unknown' region (see also parameter 'index_of_unknown_region'). If NULL, a colortable will be auto-generated. |
index_of_unknown_region |
positive integer, the index of the row in 'colortable_df' that defines the 'unknown' or 'background' region to which all vertices will be assigned which are *not* part of any of the given labels. |
an annotation, see read.fs.annot
for details.
Other atlas functions:
get.atlas.region.names()
,
group.agg.atlas.native()
,
group.agg.atlas.standard()
,
group.annot()
,
group.label.from.annot()
,
label.from.annotdata()
,
regions.to.ignore()
,
spread.values.over.annot()
,
spread.values.over.hemi()
,
spread.values.over.subject()
,
subject.annot()
,
subject.atlas.agg()
,
subject.label.from.annot()
,
subject.lobes()
# Create two labels. Real-word labels would have more vertices, of course.
label1 = c(46666, 467777);
label2 = c(99888, 99889);
label_vertices = list("region1"=label1, "region2"=label2);
colortable_df = data.frame("struct_index"=seq(0, 2),
"struct_name"=c("unknown", "region1", "region2"),
"r"=c(255L, 255L, 0L), "g"=c(255L, 0L, 255L), "b"=c(255L, 0L, 0L), "a"=c(0L, 0L, 0L));
annot = label.to.annot(label_vertices, 100000, colortable_df);
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