| catmaid_duplicated | R Documentation | 
Programmatically search for skeleton IDs pertaining to neurons within a search volume defined by a bounding box.
catmaid_duplicated(
  neuron,
  skid = 0,
  tolerance = NULL,
  duplication.range.nm = 20,
  downsample = 1,
  fafbseg = FALSE,
  pid = 1,
  conn = NULL,
  ...
)
neuron | 
 the neuron object you are thinking about uploading  | 
skid | 
 the skeleton ID that corresponds to neuron  | 
tolerance | 
 how many potentially duplicated nodes you will tolerate. If NULL, skeleton IDs for potentially duplicated neurons are returned.  | 
duplication.range.nm | 
 determines the size of the bounding box around each node in neuron to search for a duplicated. Defaults to 10 nm  | 
downsample | 
 if downsample > 1, a sample of number.of.points/downsample is taken from the neuron, and only these points are used to assess duplication. Speeds things up  | 
fafbseg | 
 whether or not to use fafbseg::read_brainmaps_meshes on the TODO tag locations and restrict possible duplication to skeletons within the search range and within the cognate auto-segmented volume  | 
pid | 
 project id. Defaults to 1  | 
conn | 
 CATMAID connection object, see ?catmaid::catmaid_login for details  | 
... | 
 methods passed to catmaid::catmaid_fetch  | 
If tolerance is NULL, then a list, with entries duplicated.nodes (a TRUE or FALSE for ever node in neuron, TRUE is there is another skeleton within duplication.range.nm) and overlapping.skids, a list of skeleton IDs for potentially overlapping neurons. If tolerance is a numeric value between 0 and 1, TRUE or FALSE is returned.
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