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Computes minimum, maximum, mean and quartiles for expert weights.

Usage

get_summary_mult_exp(chips_mult, n = 500, expert_weight = NULL)

Arguments

chips_mult

Numeric matrix, containing expert weights.

n

Number of samples to be drawn to obtain summary statistics (defaults to 500).

expert_weight

Weights assigned to each expert (defaults to equal weights).

Value

A vector containing summary statistics.

Examples

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