This function simulates a single upcoming week using the same methodology as in the season-long simulation, ff_simulate().
Arguments
- conn
an connection to a league made with
ff_connect()and friends (required)- n
number of times to simulate the upcoming week, default is 1000
- best_ball
a logical: are weekly wins based on optimal lineups?
- seed
an integer to control reproducibility
- base_seasons
a numeric vector that selects seasons as base data, earliest available is 2012
- actual_schedule
a logical: use actual ff_schedule? default is TRUE
- replacement_level
a logical: use best available on waiver as replacement level? defaults to FALSE for upcoming week simulations
- pos_filter
a character vector of positions to filter/run, default is c("QB","RB","WR","TE","K")
- verbose
a logical: print status messages? default is TRUE, configure with options(ffsimulator.verbose)
- return
one of c("default", "all") - what objects to return in the output list
Value
an ff_simulation object which can be passed to plot() and contains the output data from the simulation.
See also
vignette("basic") for example usage
vignette("custom") for examples on using the subfunctions for your own processes.
Examples
# \donttest{
try({ # try block to prevent CRAN-related issues
conn <- mfl_connect(2021, 22627)
ff_simulate_week(conn, n = 1000, actual_schedule = TRUE)
})
#> ── Starting simulation 2024-10-03 14:20:35.614833 ──────────────────────────────
#> ℹ Importing data
#> ✔ Importing data ... done
#>
#> Warning: no non-missing arguments to min; returning Inf
#> ✖ No unplayed weeks to simulate!
#> <ff_simulation: simulated seasons of Four-Eight Dynasty League>
#> List of 3
#> $ schedule : tibble [180 × 6] (S3: tbl_df/tbl/data.frame)
#> $ league_info : tibble [1 × 17] (S3: tbl_df/tbl/data.frame)
#> $ simulation_params:List of 6
# }