plot_trajectory: Plot predictions along with truth
In dshemetov/evalcast-mirror: Tools For Evaluating COVID Forecasters

Plot predictions along with truth

plot_trajectory(
  predictions_cards,
  geo_type = c("county", "hrr", "msa", "dma", "state", "hhs", "nation"),
  intervals = c(0.5, 0.8, 0.95),
  plot_it = TRUE,
  show_geo_value = NULL,
  show_forecaster = NULL,
  side_truth = NULL,
  show_points = TRUE,
  show_quantiles = TRUE,
  nrow = NULL,
  ncol = NULL,
  ...
)

`predictions_cards`	long data frame of forecasts with a class of `predictions_cards` as created by `get_predictions()` or `get_zoltar_predictions()` or `get_covidhub_predictions()`. The first 4 columns are the same as those returned by the forecaster. The remainder specify the prediction task, 10 columns in total: `ahead`, `geo_value`, `quantile`, `value`, `forecaster`, `forecast_date`, `data_source`, `signal`, `target_end_date`, and `incidence_period`. Here `data_source` and `signal` correspond to the response variable only.
`geo_type`	String indicating geographical type, such as "county", or "state". See the COVIDcast Geographic Coding documentation for available options.
`intervals`	vector of confidence intervals to show. More than 3 is ugly and will be reduced to the default set.
`plot_it`	should we actually produce the figure. If you have many geo_values or forecasters, best not to. Then you can assign the output to an object and facet or apply aesthetic specifications to meet your own standards.
`show_geo_value`	a subset of `geo_values` in your `predictions_cards`. Default uses all available. If you only want to see some, this may speed up the call.
`show_forecaster`	a subset of `forecasters` in your `predictions_cards`. Default uses all available. If you only want to see some, this may speed up the call.
`side_truth`	optional. Use your own truth data rather than downloading with `covidcast::covidcast_signal()`. Must contain columns `geo_value`, `value` and `target_end_date`
`show_points`	do you want points as well as lines
`show_quantiles`	do you want to plot the quantiles or just lines
`nrow`	the number of rows present in the output plot. Similarly, `ncol` adjusts the number of columns. Only one of `nrow` and `ncol` may be set and they only have an effect if a plot is actually produced. Additionally, If data is present for multiple forecasters, any output plot is faceted, so nrow and ncol cannot be set.
`ncol`	See `nrow`
`...`	additional arguments passed to `covidcast::covidcast_signal()`