Scatterplot of inferred data trends versus forecast differences.

Usage

plot_trend_versus_diff(
  data,
  x_metric,
  y_metric,
  fill_metric = NULL,
  x_transform = "identity",
  y_transform = "identity",
  x_center = NULL,
  ...
)

Arguments

data: Dataframe to plot, as the output of ggdist::mean_qi() or a related function.
x_metric: Name of the column containing the point estimate of the metric to plot on the x axis (typically a trend).
y_metric: Name of the column containing the point estimate of the metric to plot on the y axis (typically a measure of forecast difference.
fill_metric: Name of the column to associate to the fill aesthetic. If NULL, do not map the fill aesthetic.
x_transform: Transformation for the x axis scale. Default "identity".
y_transform: Transformation for the y axis scale. Default "identity".
x_center: Center point for the symmetric x axis limits. Default NULL.
...: keyword arguments passed to ggplot2::geom_point().

Value

The plot as a ggplot2::ggplot() object.