convergence.check.value: Convergence check

Description Usage Arguments

View source: R/bootstrap_functions.R

Description

This function will estimate the convergence of the chosen network measure using random subsets of the data.

Usage

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convergence.check.value(data, windowsize = days(30), windowshift = days(1),
  directed = FALSE, measureFun = strength, max.subsample.size = 30,
  SRI = FALSE, n.boot = 100, probs = c(0.025, 0.975))

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

The size of each window in which to generate a network.

windowshift

The amount of time to shift the window when generating networks.

directed

Whether to consider the network as directed or not (TRUE/FALSE).

measureFun

The function used to take network measurements.

max.subsample.size

The maximum number of samples to remove when recalculating the network metric.

SRI

Wether to use the simple ratio index or not (Default=FALSE).

n.boot

Number of times to repeate the subsample procedure (i.e., bootstrap estimate of slope)

probs

The probablility interval to calculate the confidence intervals.


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