Seasonal adjustment time series — geom

Performs a seasonal adjustment and plots a time series. geom_sa() and stat_sa() are aliases: they both use the same arguments. Use stat_sa() if you want to display the results with a non-standard geom.

geom_sa(
  mapping = NULL,
  data = NULL,
  stat = "sa",
  position = "identity",
  ...,
  method = c("x13", "tramoseats"),
  spec = NULL,
  frequency = NULL,
  message = TRUE,
  component = "sa",
  show.legend = NA,
  inherit.aes = TRUE
)

stat_sa(
  mapping = NULL,
  data = NULL,
  geom = "line",
  position = "identity",
  ...,
  method = c("x13", "tramoseats"),
  spec = NULL,
  frequency = NULL,
  message = TRUE,
  component = "sa",
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping: Set of aesthetic mappings created by aes() or aes_(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data: A data.frame that contains the data used for the seasonal adjustment.
stat: The statistical transformation to use on the data for this layer, as a string.
position: Position adjustment, either as a string, or the result of a call to a position adjustment function.
...: Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3.
method: the method used for the seasonal adjustment. "x13" (by default) for the X-13ARIMA method and "tramoseats" for TRAMO-SEATS.
spec: the specification used for the seasonal adjustment. See x13() or tramoseats().
frequency: the frequency of the time series. By default (frequency = NULL), the frequency is computed automatically.
message: a boolean indicating if a message is printed with the frequency used.
component: a character equals to the component to plot. The result must be a time series. See user_defined_variables() for the available parameters. By default (component = 'sa') the seasonal adjusted component is plotted.
show.legend: logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.
inherit.aes: If FALSE, overrides the default aesthetics, rather than combining with them.
geom: The geometric object to use to display the data

Examples

p_ipi_fr <- ggplot(data = ipi_c_eu_df, mapping = aes(x = date, y = FR)) +
    geom_line(color =  "#F0B400") +
    labs(title = "Seasonal adjustment of the French industrial production index",
         x = "time", y = NULL)

# To add the seasonal adjusted series:
p_ipi_fr +
    geom_sa(color = "#155692")


# To add the forecasts of the input data and the seasonal adjusted series:
p_sa <- p_ipi_fr +
    geom_sa(component = "y_f", linetype = 2, message = FALSE, color =  "#F0B400") + 
    geom_sa(component = "sa", color = "#155692", message = FALSE) +
    geom_sa(component = "sa_f", color = "#155692", linetype = 2, message = FALSE)
p_sa