aggr_data: convert individual event information to aggregated...

In NetOrigin: Origin Estimation for Propagation Processes on Complex Networks

convert individual event information to aggregated information per network node

Description

convert individual event information to aggregated information per network node

Usage

aggr_data(dat, from = NULL, cumsum = TRUE)

Arguments

dat	data.frame with variables 'node', 'time', 'delay', events data with single events with count magnitude
from	character in strftime format, e.g. "2014-06-12 16:15", data is subsetted accordingly before aggregation
cumsum	logical indicating whether data is aggregated by cumulative sum, default is TRUE

Value

data.frame of dimension (TxK), where T is the number of observation times and K the number of network nodes. Thus, each row represents a snapshot of the spreading process at a specific observation time with the event magnitude observed at the network nodes. Rownames are observation times, colnames are node names.

See Also

Other data_handling: read_DB_data()

NetOrigin documentation built on Sept. 8, 2023, 5:58 p.m.