rootpoints returns the root point(s) (one per tree, often
the soma).
branchpoints returns the branch points.
endpoints returns the end points (aka leaf nodes); the
root point will be returned if it also a leaf node.
rootpoints(x, ...)
# S3 method for default
rootpoints(x, ...)
# S3 method for neuron
rootpoints(x, subtrees = 1, ...)
# S3 method for igraph
rootpoints(x, ...)
branchpoints(x, ...)
# S3 method for default
branchpoints(x, ...)
# S3 method for neuron
branchpoints(x, subtrees = 1, ...)
# S3 method for igraph
branchpoints(x, ...)
endpoints(x, ...)
# S3 method for neuron
endpoints(x, subtrees = 1, ...)
# S3 method for igraph
endpoints(x, ...)
# S3 method for default
endpoints(x, ...)Neuron or other object (e.g. igraph) which might have roots
Further arguments passed to methods (for ngraph or
igraph objects eventually graph.nodes)).
Integer index of the fully connected subtree in
x$SubTrees. Only applicable when a neuron consists of
multiple unconnected subtrees.
FIXME Raw indices (in range 1:N) of vertices when x is a
neuron, integer point identifier (aka PointNo) otherwise.
A neuron may have multiple subtrees and therefore multiple roots. At
present there is discrepancy between the *.neuron and
*.igraph methods. For neurons we return the node indices, for
igraph/ngraph objects the node identifiers (aka
names/PointNo)
branchpoints.neuron returns a list if more than one subtree
is specified
Other neuron:
neuron(),
ngraph(),
plot.dotprops(),
potential_synapses(),
prune(),
resample(),
spine(),
subset.neuron()
rootpoints(Cell07PNs[[1]])
#> [1] 1
endpoints(Cell07PNs[[1]])
#> [1] 1 42 59 62 80 85 96 100 102 112 117 121 134 148 154 165 172 180