R/get_summary_mult_exp.R
get_summary_mult_exp.Rd
Computes minimum, maximum, mean and quartiles for expert weights.
get_summary_mult_exp(chips_mult, n = 500, expert_weight = NULL)
Numeric matrix, containing expert weights.
Number of samples to be drawn to obtain summary statistics (defaults to 500).
Weights assigned to each expert (defaults to equal weights).
A vector containing summary statistics.
get_summary_mult_exp( chips_mult = rbind( c(0, 0, 0, 0, 2, 3, 3, 2, 0, 0), c(0, 0, 0, 1, 2, 4, 2, 1, 0, 0), c(0, 0, 0, 2, 2, 2, 2, 2, 0, 0) ), n = 50 ) #> Min. 1st Qu. Median Mean 3rd Qu. Max. #> 0.1434 0.4697 0.5545 0.5616 0.6822 0.8510