neuronlist objects consist of a list of neuron objects
(usually of class neuron or dotprops) along
with an optional attached dataframe containing information about the
neurons. neuronlist objects can be indexed using their name or the
number of the neuron like a regular list. Both the list itself and
the attached data.frame must have the same unique (row)names. If the
[ operator is used to index the list, the attached dataframe will
also be subsetted.
It is perfectly acceptable not to pass any parameters, generating an empty neuronlist
neuronlist(..., DATAFRAME = NULL)objects to be turned into a list
an optional data.frame to attach to the neuronlist
containing information about each neuron.
A new neuronlist object.
as.data.frame.neuronlist,
neuronlist-dataframe-methods, neuron,
dotprops
Other neuronlist:
*.neuronlist(),
is.neuronlist(),
neuronlist-dataframe-methods,
neuronlistfh(),
neuronlistz(),
nlapply(),
read.neurons(),
write.neurons()
# generate an empty neuronlist
nl=neuronlist()
# slice an existing neuronlist with regular indexing
kcs5=kcs20[1:5]
# simple summary of neuronlist contents
Cell07PNs
#> 'neuronlist' containing 40 'neuron' objects and 'data.frame' with 27 vars [4.4 MB]
# subset to make a smaller neuronlist
Cell07PNs[1:3]
#> 'neuronlist' containing 3 'neuron' objects and 'data.frame' with 27 vars [129.4 kB]
# extract a single neuron from a neuronlist
n1=Cell07PNs[[1]]
n1
#> 'neuron' with 180 vertices in 1 tree
# list all methods for neuronlist objects
methods(class='neuronlist')
#> [1] * + - /
#> [5] [ [<- as.data.frame as.neuronlistfh
#> [9] c data.frame<- dimnames dotprops
#> [13] droplevels head intersect mirror
#> [17] nvertices plot plot3d potential_synapses
#> [21] print prune prune_in_volume prune_online
#> [25] prune_twigs reroot resample setdiff
#> [29] sholl_analysis subset summary tail
#> [33] union with xform xyzmatrix
#> [37] xyzmatrix<-
#> see '?methods' for accessing help and source code