Outliers texts — geom_outlier • ggdemetra

Function to add directly to the plot the outliers used in the pre-adjustment process of the seasonal adjustment.

Usage

geom_outlier(
  mapping = NULL,
  data = NULL,
  stat = "outlier",
  geom = c("text", "label", "text_repel", "label_repel"),
  position = "identity",
  ...,
  method = c("x13", "tramoseats"),
  spec = NULL,
  frequency = NULL,
  message = TRUE,
  first_date = NULL,
  last_date = NULL,
  coefficients = FALSE,
  digits = 1,
  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.
geom: character. The geometric to use to display the data: GeomText (geom = "text", the default, see geom_text()); GeomLabel (geom = "label", see geom_label()); GeomTextRepel (geom = "text_repel", the default, see geom_text_repel()); GeomLabelRepel (geom = "label_repel", the default, see geom_label_repel()).
position: Position adjustment, either as a string, or the result of a call to a position adjustment function.
...: Other arguments passed on to layer(). They may be parameters of geom_text() (if geom = "text"), geom_label() (if geom = "label"), geom_text_repel() (if geom = "text_repel") or geom_label_repel() (if geom = "label_repel").
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.
first_date: A numeric specifying the first date from which the outliers are plotted. By default (first_date = NULL) the outliers are plotted from the beginning of the time series.
last_date: A numeric specifying the first date from which the outliers are plotted. By default (first_date = NULL) the outliers are plotted until the end of the time series.
coefficients: boolean indicating if the estimates coefficients are printed. By default coefficients = FALSE.
digits: integer indicating the number of decimal places to be used for numeric diagnostics. By default digits = 1.
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.

Details

With the parameter geom = "text", the outliers used in the pre-adjustment process of the seasonal adjustment are directly added to the plot. With geom = "label" a rectangle is drawn behind the names of the outliers, making them easier to read. The same with geom = "text_repel" or geom = "label_repel" but text labels are also repeled away from each other and away from the data points (see geom_label_repel()).

Examples

p_sa_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)  +
    geom_sa(color = "#155692", message = FALSE)
         
# To add the outliers:
p_sa_ipi_fr + geom_outlier(geom = "label",
                    message = FALSE)



# To have a more readable plot with outliers names that repeled away from each other 
# and from the data points:
p_sa_ipi_fr + 
    geom_outlier(geom = "label_repel",
                 message = FALSE,
                 ylim = c(NA, 65),
                 arrow = arrow(length = unit(0.03, "npc"),
                               type = "closed", ends = "last"))


# To only plot the outliers from a specific date (2009):
p_sa_ipi_fr + 
    geom_outlier(geom = "label_repel",
                 message = FALSE,
                 first_date = 2009,
                 ylim = c(NA, 65), 
                 arrow = arrow(length = unit(0.03, "npc"),
                               type = "closed", ends = "last"))