nat (version 1.8.16)

prune: prune an object by removing points near (or far) from a target object

Description

prune an object by removing points near (or far) from a target object

Usage

prune(x, target, ...)

# S3 method for neuron prune(x, target, ...)

# S3 method for dotprops prune(x, target, ...)

# S3 method for neuronlist prune(x, target, ...)

# S3 method for default prune(x, target, maxdist, keep = c("near", "far"), return.indices = FALSE, ...)

Arguments

x

The object to prune. (e.g. dotprops object, see details)

target

Another object with 3D points that will determine which points in x are kept.

...

Additional arguments for methods (eventually passed to prune.default)

maxdist

The threshold distance for keeping points

keep

Whether to keep points in x that are near or far from the target

return.indices

Whether to return the indices that pass the test rather than the 3D object/points (default FALSE)

Details

prune.neuron depends on a more basic function prune_vertices and is also related to subset.neuron.

See Also

prune_strahler, spine, prune_vertices

subset.neuron

subset.dotprops

Other neuron: neuron(), ngraph(), plot.neuron(), potential_synapses(), resample(), rootpoints(), spine(), subset.neuron()

Examples

Run this code
# NOT RUN {
## prune single neurons
# }
# NOT RUN {
plot3d(kcs20[[1]],col='blue')
plot3d(kcs20[[2]],col='red')
# }
# NOT RUN {
# prune neuron 2 down to points that are close to neuron 1
neuron2_close=prune(kcs20[[2]], target=kcs20[[1]], maxdist=10)
# }
# NOT RUN {
plot3d(neuron2_close, col='cyan', lwd=3)
# }
# NOT RUN {
neuron2_far=prune(kcs20[[2]], target=kcs20[[1]], maxdist=10, keep='far')
# }
# NOT RUN {
plot3d(neuron2_far, col='magenta', lwd=3)
# }
# NOT RUN {
## Prune a neuron with a neuronlist
pruned=prune(kcs20[[11]], kcs20[setdiff(1:20, 11)], maxdist=8)
# }
# NOT RUN {
plot3d(pruned, col='red', lwd=3)
plot3d(kcs20[[11]], col='green', lwd=3)
plot3d(kcs20,col='grey')
# }

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