Plot a histogram of optimal lags across groups — plot_lag • pika

Produces a histogram of the lag values returned by cross_corr, showing the distribution of optimal lags across groups.

Usage

plot_lag(dat, lag_var, bins = 2)

Arguments

dat: A data frame containing a lag column, typically the output of cross_corr.
lag_var: Character string giving the name of the lag column to plot.
bins: Numeric. Bin width for the histogram. Default is 2.

Value

A ggplot object.

See also

cross_corr to compute the lag values; plot_corr to visualise the time series and rolling correlation.

Examples

if (FALSE) { # \dontrun{
lags <- cross_corr(
  dat     = my_data,
  grp_var = "region",
  x_var   = "r_mean",
  y_var   = "movement"
)
plot_lag(lags, lag_var = "lag")
} # }