make_dyads: Aggregate events to a regular time interval

In events: Store and manipulate event data

Description

Aggregates events to a regular time interval

Usage

  make_dyads(edo, scale = NULL,
    unit = c("week", "day", "month", "quarter", "year"),
    monday = TRUE, fun = mean, missing.data = NA)

Arguments

edo	Event data
scale	Name of an eventscale or NULL to create counts
unit	Temporal aggregation unit
monday	Whether weeks start on Monday. If FALSE, they start on Sunday
fun	Aggregation function. Should take a vector and return a scalar
missing.data	What weeks with no data are assigned

Details

In an event data set S, assume that A=length(actors(S)) actors K=length(codes(S)) event codes occur. This function creates A^2 data streams labelled by the combination of source and target actors. If scale is NULL these are K-dimensional time series of event counts. If scale names a scale that has been added to the event data fun is used to aggregate the events falling into each temporal interval. This creates a univariate interval valued time series for each directed dyad.

Value

A list of named dyadic aggregated time series

Author(s)

Will Lowe

events documentation built on May 2, 2019, 4:45 p.m.