plot_delay {ARDL}

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",
  ...
)

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.

Value

plot_delay returns a number of ggplot objects.

Author(s)

Kleanthis Natsiopoulos, [e-mail]

See Also

multipliers

Examples

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)