plot.predict_pansim: plot forecasts from fits

In bbolker/McMasterPandemic: Pandemic Model

plot forecasts from fits

Description

plot forecasts from fits

Usage

## S3 method for class 'predict_pansim'
plot(
  x,
  data = NULL,
  break_dates = NULL,
  dlspace = 1,
  limspace = 10,
  add_tests = FALSE,
  add_ICU_cap = FALSE,
  mult_var = NULL,
  directlabels = TRUE,
  log = TRUE,
  log_lwr = 1,
  ...
)

Arguments

x	a calibrated object (result from calibrate) or a prediction (from predict.fit_pansim)
data	original time series data
break_dates	breakpoints
dlspace	spacing for direct labels (not working)
limspace	extra space (in days) to add to make room for direct labels
add_tests	plot newTests/1000?
add_ICU_cap	include horizontal lines showing ICU capacity?
mult_var	variable in data set indicating multiple forecast types to compare
directlabels	use direct labels?
log	use a log10 scale for the y axis?
log_lwr	lower limit when using log scale
...	extra arguments (unused)

Examples

plot(ont_cal1)
ont_trans <- trans_state_vars(ont_all)
plot(ont_cal1,data=ont_trans)
plot(ont_cal1,data=ont_trans, add_tests=TRUE)
plot(ont_cal1,data=ont_trans, predict_args=list(end_date="2020-07-01"))

## FIXME: don't try these until we have an example where ensemble works
## pp <- predict(ont_cal_2brks, ensemble=TRUE)
## plot(pp)
## plot(pp, data=ont_trans)

bbolker/McMasterPandemic documentation built on Aug. 25, 2024, 6:35 p.m.