dotprops | R Documentation |
dotprops
makes dotprops representation from raw 3D points
(extracting vertices from S3 objects that have them)
dotprops.dotprops
will default to the original vale of
k
and copy over all attributes that are not set by
dotprops.default
.
dotprops.neuronlist
will run for every object in the
neuronlist using nlapply
. ...
arguments will be passed to
nlapply
in addition to the named argument OmitFailures
.
is.dotprops(x)
as.dotprops(x, ...)
dotprops(x, ...)
## S3 method for class 'character'
dotprops(x, ...)
## S3 method for class 'dotprops'
dotprops(x, k = attr(x, "k"), ...)
## S3 method for class 'im3d'
dotprops(x, ...)
## S3 method for class 'neuronlist'
dotprops(x, ..., OmitFailures = NA)
## S3 method for class 'neuron'
dotprops(x, Labels = NULL, resample = NA, ...)
## Default S3 method:
dotprops(x, k = NULL, Labels = NULL, na.rm = FALSE, ...)
x |
Object to be tested/converted |
... |
Additional arguments passed to methods |
k |
Number of nearest neighbours to use for tangent vector calculation (set to k=20 when passed NULL) |
OmitFailures |
Whether to omit neurons for which |
Labels |
Vector of labels for each point e.g. identifying axon vs
dendrite. The default value |
resample |
When finite, a new length to which all segmented edges will
be resampled. See |
na.rm |
Whether to remove |
k
will default to 20 nearest neighbours when unset (i.e. when
it has default value of NA) unless x
is a dotprops object (when the
original value of k
is reused).
The dotprops format is essentially identical to that developed in:
Masse N.Y., Cachero S., Ostrovsky A., and Jefferis G.S.X.E. (2012). A mutual information approach to automate identification of neuronal clusters in Drosophila brain images. Frontiers in Neuroinformatics 6 (00021). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3389/fninf.2012.00021")}
nlapply
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