tableChain2path: Link an arbitrary number of connection tables into a pathway...

In jayaraman-lab/neuprintrExtra: Extra functions to analyze neuprint EM datasets

Description

Link an arbitrary number of connection tables into a pathway table

Usage

tableChain2path(
  ...,
  n_steps = NULL,
  stat = NULL,
  excludeLoops = TRUE,
  type.to = NULL,
  excludeIntermediate = NULL,
  addRecursive = FALSE,
  chunkPath = FALSE,
  progress = TRUE
)

Arguments

...	An arbitrary number of connection tables or a list of connection tables. In desired downstream order
stat	which stat to use for pathway weights. Can be a vector. If NULL (the default), all the available meaningful stats are used: ("weightRelative","outputContribution","knownWeightRelative","knownOutputContribution","knownOutputContribution_perType","knownWROutputContribution_perType","knownWeightRelative_perType")
excludeLoops	Logical, whether to exclude paths containing duplicates (TRUE by default)
type.to	a metadata data.frame for a set of neurons (typically generated by a search or a getTypesTable call) to arrive to
addRecursive	Whether or not to add the recursive paths (of length greater than n_steps) present in the connection tables generated.
chunkPath	Chunking argument to be passed to the function chaining the connection tables together. Useful for deep pathways. Can either be logical, or an integer specifying the number of connections in the starting table to process at once.

jayaraman-lab/neuprintrExtra documentation built on Dec. 20, 2021, 10 p.m.