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 character
dotprops(x, ...)
# S3 method for dotprops
dotprops(x, k = attr(x, "k"), ...)
# S3 method for im3d
dotprops(x, ...)
# S3 method for neuronlist
dotprops(x, ..., OmitFailures = NA)
# S3 method for neuron
dotprops(x, Labels = NULL, resample = NA, ...)
# S3 method for default
dotprops(x, k = NULL, Labels = NULL, na.rm = FALSE, ...)
Object to be tested/converted
Additional arguments passed to methods
Number of nearest neighbours to use for tangent vector calculation (set to k=20 when passed NULL)
Whether to omit neurons for which FUN gives an
error. The default value (NA) will result in nlapply stopping with
an error message the moment there is an eror. For other values, see
details.
Vector of labels for each point e.g. identifying axon vs
dendrite. The default value NULL will produce class-specific default
behaviour for different classes of input object, TRUE always uses
labels when an incoming object has them and FALSE never uses labels.
When finite, a new length to which all segmented edges will
be resampled. See resample.neuron.
Whether to remove NA points (default FALSE)
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). doi: 10.3389/fninf.2012.00021