check.timescale: Quantify how changing window size alters the resulting time...

In tbonne/netTS: netTS: network time series

Description

This function will estimate how changing the time scale (i.e., window size) alters the time series, i.e., multiscale analysis.

Usage

check.timescale(data, windowsize_min = days(10), windowsize_max = days(40),
  by = days(1), windowshift = days(1), directed = FALSE,
  measureFun = igraph::edge_density, summaryFun = var, SRI = FALSE,
  boot = 10, effortFun = NULL, cores = 1)

Arguments

data	Dataframe with relational data in the first two rows, and a time stamp in the third row. Note: time stamps should be in ymd or ymd_hms format. The lubridate package can be very helpful in organizing times.
windowsize_min	The min size of windowsize to test.
windowsize_max	The max size of windowsize to test.
by	The resolution at which to test window sizes between the min and the max window sizes
windowshift	The amount of time to shift the window when generating network time series.
directed	Whether to consider the network as directed or not (TRUE/FALSE).
measureFun	The measurment function used to create a time series from the networks.
summaryFun	The measurment function used to summarise each time series.
SRI	Wether to use the simple ratio index (Default=FALSE)

tbonne/netTS documentation built on July 26, 2021, 2:27 a.m.