prune | R Documentation |
prune an object by removing points near (or far) from a target object
prune(x, target, ...)
## S3 method for class 'neuron'
prune(x, target, ...)
## S3 method for class 'dotprops'
prune(x, target, ...)
## S3 method for class 'neuronlist'
prune(x, target, ...)
## Default S3 method:
prune(x, target, maxdist, keep = c("near", "far"), return.indices = FALSE, ...)
x |
The object to prune. (e.g. |
target |
Another object with 3D points that will determine which points in x are kept. |
... |
Additional arguments for methods (eventually passed to
|
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 |
prune.neuron
depends on a more basic function
prune_vertices
and is also related to
subset.neuron
.
prune_strahler
, spine
,
prune_vertices
subset.neuron
subset.dotprops
Other neuron:
neuron()
,
ngraph()
,
plot.neuron()
,
potential_synapses()
,
resample()
,
rootpoints()
,
spine()
,
subset.neuron()
## prune single neurons
plot3d(kcs20[[1]],col='blue')
plot3d(kcs20[[2]],col='red')
# prune neuron 2 down to points that are close to neuron 1
neuron2_close=prune(kcs20[[2]], target=kcs20[[1]], maxdist=10)
plot3d(neuron2_close, col='cyan', lwd=3)
neuron2_far=prune(kcs20[[2]], target=kcs20[[1]], maxdist=10, keep='far')
plot3d(neuron2_far, col='magenta', lwd=3)
## Prune a neuron with a neuronlist
pruned=prune(kcs20[[11]], kcs20[setdiff(1:20, 11)], maxdist=8)
plot3d(pruned, col='red', lwd=3)
plot3d(kcs20[[11]], col='green', lwd=3)
plot3d(kcs20,col='grey')
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