plot_canonical: A canonical function for creating plots within evalcast
In dshemetov/evalcast-mirror: Tools For Evaluating COVID Forecasters

A canonical function for creating plots within evalcast

plot_canonical(
  df,
  x,
  y,
  facet_rows = NULL,
  facet_cols = NULL,
  grp_vars = "forecaster",
  aggr = mean,
  dots = TRUE,
  lines = TRUE,
  base_forecaster = NULL,
  scale_before_aggr = FALSE
)

`df`	dataframe containing the data to plot
`x`	Name of the variable in `df` to be used for the x-axis
`y`	name of the variable in `df` to be used for the y-axis
`facet_rows`	A variable name to facet data over. Creates a separate row of plots for each value of specified variable. Can be used with `facet_cols` to create a grid of plots.
`facet_cols`	Same as `facet_rows`, but with columns.
`grp_vars`	The set of variable names in `df` which to aggregate over. "forecaster" by default.
`aggr`	function to use to aggregate data over `grp_vars`
`dots`	when set to TRUE, a dot layer is included in the plot
`lines`	when set to TRUE, a line layer is included in the plot
`base_forecaster`	If set, scales the y-value for all forecasters by the corresponding values of the `base_forecaster`
`scale_before_aggr`	If TRUE, scales results by the `base_forecaster` before aggregating by the `aggr` function. FALSE by default.