manc_leg_summary
summarises I/O in the main leg
neuropils.
manc_side_summary
summarises connections within all of
the ROIs that have an L or R designation.
Usage
manc_leg_summary(ids, long = FALSE, other = FALSE, conn = manc_neuprint())
manc_side_summary(ids, long = FALSE, conn = manc_neuprint())
Arguments
- ids
A set of body ids in any form understandable to
manc_ids
- long
Whether to return results in wide (default) or long format.
- other
Whether to return the sum of all other neuropils as an extra column
other
.- conn
Optional, a
neuprint_connection
object, which also specifies the neuPrint server. Defaults tomanc_neuprint()
to ensure that query is against the VNC dataset.
Value
a data.frame with one row per neuron (when long=FALSE
) or one
row per ROI/IO combination (when long=TRUE
). Note that out
columns refer to output synapses from the given bodyid onto downstream
partners.
Examples
dnals=manc_leg_summary(c(10126, 10118))
#> Error in neuprint_login(server = server, dataset = dataset, token = token, ...): Sorry you must specify a neuprint server! See ?neuprint_login for details!
dnals
#> Error: object 'dnals' not found
manc_leg_summary(c(10126, 10118), long=TRUE)
#> Error in neuprint_login(server = server, dataset = dataset, token = token, ...): Sorry you must specify a neuprint server! See ?neuprint_login for details!
heatmap(data.matrix(dnals[grep("_out", colnames(dnals))]),
Colv = NA, scale = 'none')
#> Error: object 'dnals' not found
# \donttest{
dnls=manc_leg_summary('class:descending')
#> Error in neuprint_login(server = server, dataset = dataset, token = token, ...): Sorry you must specify a neuprint server! See ?neuprint_login for details!
heatmap(data.matrix(dnls[grep("_out", colnames(dnls))]),
Colv = NA, scale = 'none')
#> Error: object 'dnls' not found
# }
manc_side_summary('DNp01')
#> Error in neuprint_login(server = server, dataset = dataset, token = token, ...): Sorry you must specify a neuprint server! See ?neuprint_login for details!