crossCorPlots: Produces cross-correlation plots of the observed state...

In rties: Modeling Interpersonal Dynamics

Description

Produces cross-correlation plots of the observed state variable for lags of -+ 20 time steps for each dyad.

Usage

crossCorPlots(basedata, personId, dyadId, obs_name, time_name)

Arguments

basedata	A user provided dataframe.
personId	The name of the column in the dataframe that has the person-level identifier.
dyadId	The name of the column in the dataframe that has the dyad-level identifier.
obs_name	The name of the column in the dataframe that has the time-varying observable (e.g., the variable for which dynamics will be assessed).
time_name	The name of the column in the dataframe that indicates sequential temporal observations.

Value

Prints the plots to the screen.

Examples

data <- rties_ExampleDataShort
crossCorPlots(basedata=data, dyadId="couple", personId="person", obs_name="dial", time_name="time")

rties documentation built on July 2, 2020, 4:11 a.m.