crossCorPlots {rties}

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

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")