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Lollypop plot

Source: R/plot_lollypop.R
lollypop.Rd

Lollypop plot

Usage

lollypop(
  object,
  xlim = NULL,
  ylim = NULL,
  col_tc = "#E69F00",
  col_sa = "black",
  color_points = col_sa,
  cex_points = 1,
  pch_points = 16,
  xlab = "",
  ylab = "",
  lty_last_tc = 2,
  n_last_tc = 4,
  ...
)

gglollypop(
  object,
  xlim = NULL,
  ylim = NULL,
  col_tc = "#E69F00",
  col_sa = "black",
  color_points = col_sa,
  cex_points = 1,
  pch_points = 16,
  legend_tc = "Trend-cycle",
  legend_sa = "Seasonally adjusted",
  lty_last_tc = 2,
  n_last_tc = 4,
  ...
)

Arguments

object

"tc_estimates" object.

xlim, ylim

x and y limits of the plot. If xlim is defined and not ylim, then ylim is determined automatically.

col_sa, col_tc

color of the seasonally adjusted and trend-cycle components.

color_points, cex_points

color and size of the points associated to the seasonnaly adjusted component.

pch_points

point type of the seasonally adjusted component.

xlab, ylab

x and y axis labels.

lty_last_tc

line type of the last values of the trend-cycle component.

n_last_tc

number of last values of the trend-cycle component to be plotted with a different line type (to emphasize that there is higher variability for the last estimates). If NULL, then n_last_tc is equal to the MCD statistic.

...

other parameters.

legend_tc, legend_sa

legend of the trend-cycle and seasonally adjusted components.

Examples

tc_mod <- henderson_smoothing(french_ipi[, "manufacturing"])
lollypop(tc_mod, xlim = c(2022, 2024.5))