Plot observations — plot_observations • casteval

Plot observation points. If scores are provided alongside the observations, the plot can be colour-coded to convey information about score, accuracy, etc.

Usage

plot_observations(plt = NULL, obs, alpha = 0.4, colour = "black")

Arguments

plt: (Optional) A ggplot object. it will be added to using the + operator. Defaults to NULL, in which case a blank ggplot object will be created.
obs: An observations data frame. If it contains a score column, the observation points will be colour-coded according to the scores. Otherwise, the alpha and colour parameters will determine the opacity and colour of the points.
alpha: (Optional) The alpha parameter to be passed to ggplot2
colour: (Optional) The colour to be passed to ggplot2

Value

A ggplot object.

Examples

fc <- create_forecast(list(
  time=1:3,
  vals=list(c(4,7,10), c(5,8,11), c(6,9,12))
))
obs <- data.frame(time=1:3, val_obs=c(5,9,13))

# plot observations on their own
plot_observations(NULL, obs)


# plot observations alongside forecast data
plot_observations(plot_ensemble(NULL, fc), obs)


# plot observations alongside forecast data, and colour-code by score
plot_observations(
  plot_ensemble(NULL, fc),
  log_score(fc, obs, summarize=FALSE)
)