emcAdr (version 1.2)

p_value_genetic_results: Used to add the p_value to each cocktail of an output of the genetic algorithm

Description

Used to add the p_value to each cocktail of an output of the genetic algorithm

Usage

p_value_genetic_results(
  distribution_outputs,
  genetic_results,
  filtred_distribution = FALSE
)

Value

A real valued number vector representing the p-value of the inputed genetic algorithm results (genetic_results) computed on the distribution_outputs List.

Arguments

distribution_outputs

A list of distribution of cocktails of different sizes in order to compute the p_value for multiple cocktail sizes

genetic_results

outputs of the genetic algorithm

filtred_distribution

Does the p-values have to be computed using filtered distribution or normal distribution (filtered distribution by default)

Examples

# \donttest{
 data("ATC_Tree_UpperBound_2024")
 data("FAERS_myopathy")
  DistributionApproximationResults_size2 = DistributionApproximation(epochs = 10,
            ATCtree = ATC_Tree_UpperBound_2024, observations = FAERS_myopathy, Smax = 2)
            
  DistributionApproximationResults_size3 = DistributionApproximation(epochs = 10,
            ATCtree = ATC_Tree_UpperBound_2024, observations = FAERS_myopathy, Smax = 3)
            
  score_distribution_list = list(DistributionApproximationResults_size2,
                              DistributionApproximationResults_size3)
  genetic_results = GeneticAlgorithm(epochs = 10, nbIndividuals = 20, 
            ATCtree = ATC_Tree_UpperBound_2024,
            observations = FAERS_myopathy)
  p_value_genetic_results(score_distribution_list, genetic_results)
# }