This method summarises predicted epidemic trajectories contained in a `projections` object by days, deriving the mean, standard deviation, and user-specified quantiles for each day.
# S3 method for projections summary( object, quantiles = c(0.025, 0.25, 0.5, 0.75, 0.975), mean = TRUE, sd = TRUE, min = TRUE, max = TRUE, ... )
| object | A `projections` object to summarise |
|---|---|
| quantiles | A `numeric` vector indicating which quantiles should be computed; ignored if `FALSE` or of length 0 |
| mean | a `logical` indicating of the mean should be computed |
| sd | a `logical` indicating of the standard deviation should be computed |
| min | a `logical` indicating of the minimum should be computed |
| max | a `logical` indicating of the maximum should be computed |
| ... | only preesnt for compatibility with the generic if (require(incidence)) i <- incidence::incidence(as.Date('2020-01-23')) si <- c(0.2, 0.5, 0.2, 0.1) R0 <- 2 p <- project(x = i, si = si, R = R0, n_sim = 2, R_fix_within = TRUE, n_days = 10, model = "poisson" ) summary(p) |