get_best_configuration {RCTS}

Finds the first stable interval after the first unstable point. It then defines the value for C for the begin, middle and end of this interval.

Description

Finds the first stable interval after the first unstable point. It then defines the value for C for the begin, middle and end of this interval.

Usage

get_best_configuration(
  list_vc,
  list_rc,
  list_rcj,
  C_candidates,
  S_cand,
  return_short = FALSE,
  verbose = FALSE
)

Arguments

list_vc

list with resulting expression(VC^2) for each run

list_rc

list with resulting rc for each run

list_rcj

list with resulting rcj for each run

C_candidates

candidates for C

S_cand

candidates for S (number of groups)

return_short

if TRUE, the function returns the dataframe filtered for several specified potential candidates for C

verbose

when TRUE, it prints messages

Value

data.frame with the optimized configuration for each candidate C (if return_short is FALSE) and for each of the selected C's in the chosen stable interval (if return_short is TRUE).

Examples

set.seed(1)
all_best_values <- calculate_best_config(add_configuration(initialise_df_results(TRUE),
  3, 0, c(3, 3, 3, rep(NA, 17))),
  data.frame(t(1:5)), 1:5)
rc <- fill_rc(initialise_rc(0:1, 1:5), all_best_values, 0)
rc <- fill_rc(rc, all_best_values, 1)
rcj <- fill_rcj(initialise_rcj(0:1, 1:5) , all_best_values, 0, 2:4, 2:4)
rcj <- fill_rcj(rcj, all_best_values, 1, 2:4, 2:4)
get_best_configuration(sort(runif(5)), rc, rcj, 1:5, 2:4, return_short = FALSE)