plot_delay: Create plots for the delay multipliers

Description

Creates plots for the delay multipliers and their uncertainty intervals based on their estimated standard errors. This is a basic ggplot with a few customizable parameters.

Usage

plot_delay(
  multipliers,
  facets_ncol = 2,
  interval = FALSE,
  interval_color = "blue",
  show.legend = FALSE,
  xlab = "Period",
  ylab = "Delay",
  ...
)

Value

plot_delay returns a number of ggplot

objects.

Arguments

multipliers: A list returned from multipliers, in which type is a positive integer to return delay multipliers.
facets_ncol: If a positive integer, it indicates the number of the columns in the facet. If FALSE, each plot is created separately. The default is 2.
interval: If FALSE (default), no uncertainty intervals are drawn. If a positive integer, the intervals are this number times the standard error. If a number between 0 and 1 (e.g. 0.95), the equivalent confidence interval is drawn (e.g. 95% CI). In case of the confidence intervals, they are based on the Gaussian distribution.
interval_color: The color of the uncertainty intervals. Default is "blue".
show.legend: A logical indicating whether the interval legend is shown. Default is FALSE.
xlab, ylab: Names displayed at the x and y axes respectively. Default is "Period" and "Delay" respectively.
...: Currently unused argument.

Author

Kleanthis Natsiopoulos, klnatsio@gmail.com

Examples

Run this code

ardl_3132 <- ardl(LRM ~ LRY + IBO + IDE, data = denmark, order = c(3,1,3,2))
delay_mult <- multipliers(ardl_3132, type = 12, se = TRUE)

## Simply plot the delay multipliers -----------------------------------

plot_delay(delay_mult)

## Rearrange them ------------------------------------------------------

plot_delay(delay_mult, facets_ncol = 1)

## Add 1 standard deviation uncertainty intervals ----------------------

plot_delay(delay_mult, interval = 1)

## Add 95% confidence intervals, change color and add legend -----------

plot_delay(delay_mult, interval = 0.95, interval_color = "darkgrey",
           show.legend = TRUE)