sweepstack runs stacks iteratively over a range of different starting shows.

it returns a dataframe with two columns, "gid" and "shows". gid is the gig id of the starting show used for the test. shows is the number of shows included in the resulting stack.

Usage

sweepstack(
  number_stacks = NULL,
  exclude_poor_sound_quality = FALSE,
  myduration_data_da = NULL,
  mysummary = NULL,
  myothervariables = NULL,
  mygidsoundquality = NULL
)

Arguments

number_stacks

this is the number of starting shows to test. if not specified all the possible starting shows will be tested.

exclude_poor_sound_quality

set this to TRUE to exclude shows with sound quality rated as 'Poor'.

myduration_data_da

optional duration_data_da dataframe (as produced by Repeatr_1()) to be used for the pool of shows/songs to sweep over. If omitted the currently lazy-loaded default will be used.

mysummary, myothervariables, mygidsoundquality

optional lookup tables passed straight through to stacks() - see there for details. If omitted the currently lazy-loaded defaults will be used.

Value

A list of two data frames: stack_summary (gid, shows - one row per starting show tested, and the number of shows needed to reach the target unique-song count) and stack_details (gid_initial, gid, title - the full, deduplicated set of shows and songs behind every stack tested).

Details

sweepstack

Examples

results <- sweepstack(number_stacks = 10, exclude_poor_sound_quality = TRUE)
#> stack 1
#> stack 2
#> stack 3
#> stack 4
#> stack 5
#> stack 6
#> stack 7
#> stack 8
#> stack 9
#> stack 10
#> 
stack1 <- results[[1]]
stack2 <- results[[2]]