Skip to contents

Default "tc_estimates" plot

Source: R/plot.R
plot.tc_estimates.Rd

Default "tc_estimates" plot

Usage

# S3 method for class 'tc_estimates'
plot(
  x,
  y = NULL,
  xlim = NULL,
  ylim = NULL,
  col_tc = "#E69F00",
  col_sa = "black",
  xlab = "",
  ylab = "",
  lty_last_tc = 2,
  n_last_tc = 4,
  ...
)

# S3 method for class 'tc_estimates'
autoplot(
  object,
  xlim = NULL,
  ylim = NULL,
  col_tc = "#E69F00",
  col_sa = "black",
  legend_tc = "Trend-cycle",
  legend_sa = "Seasonally adjusted",
  lty_last_tc = 2,
  n_last_tc = 4,
  ...
)

Arguments

y

unused parameter.

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.

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 (unused) parameters.

object, x

"tc_estimates" object.

legend_tc, legend_sa

legend of the trend-cycle and seasonally adjusted components.

Examples

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