Visualise Where Forecasts Are Available

Visualise Where Forecasts Are Available

Usage

plot_avail_forecasts(
  avail_forecasts,
  y = "model",
  x = "forecast_date",
  make_x_factor = TRUE,
  show_numbers = TRUE
)

Arguments

avail_forecasts

data.frame with a column called Number forecasts as produced by avail_forecasts()

y

character vector of length one that denotes the name of the column to appear on the y-axis of the plot. Default is "model".

x

character vector of length one that denotes the name of the column to appear on the x-axis of the plot. Default is "forecast_date".

make_x_factor

logical (default is TRUE). Whether or not to convert the variable on the x-axis to a factor. This has an effect e.g. if dates are shown on the x-axis.

show_numbers

logical (default is TRUE) that indicates whether or not to show the actual count numbers on the plot

Value

ggplot object with a plot of interval coverage

Examples

library(ggplot2)
avail_forecasts <- avail_forecasts(
  example_quantile, by = c("model", "target_type", "target_end_date")
)
#> The following messages were produced when checking inputs:
#> 1.  144 values for `prediction` are NA in the data provided and the corresponding rows were removed. This may indicate a problem if unexpected.
plot_avail_forecasts(
 avail_forecasts, x = "target_end_date", show_numbers = FALSE
) +
 facet_wrap("target_type")