event_metrics {swaRmverse}

Metrics of Collective Motion

Description

This function calculates metrics of collective motion across sets and events.

Usage

event_metrics(global_df, pairwise_df)

Arguments

global_df

A data frame with time series of global group measurements. Columns must include: set, t, event, pol, shape, speed.

pairwise_df

A data frame with time series of pairwise measurements. Columns must include: set, t, id, nnd, bangl.

Value

A dataframe with 10 metrics per event.

Author(s)

Marina Papadopoulou [e-mail]

See Also

group_metrics, nn_metrics

Examples

## A dataframe with group timeseries
g_df <- data.frame(
t = 1:25,
set = rep(1, 25),
pol = c(rnorm(25)),
speed = c(rnorm(25)),
shape = c(rnorm(25)),
event = rep(1, 25),
N = rep(2, 25)
)

## A dataframe with individual timeseries
p_df <- data.frame(
t = rep(1:25, 2),
set = rep(1, 50),
nnd = c(rnorm(50)),
bangl = runif(25, 0, pi),
id = c(rep(1, 25), rep(2, 25)),
event = rep(1, 50)
)

events_dataframe <- event_metrics(g_df, p_df)