emcAdr (version 1.2)

p_value_on_sampled: Calculate p-value of sampled value

Description

Calculate p-value of sampled value

Usage

p_value_on_sampled(
  empirical_distribution,
  sampled_values,
  isFiltered = FALSE,
  includeZeroValue = FALSE
)

Value

A numeric value representing the empirical p-value

Arguments

empirical_distribution

A numeric vector of values representing the empirical distribution (return value of DistributionAproximation function)

sampled_values

A scalar or a vector of real valued number representing the sampled value (score to be tested)

isFiltered

A boolean representing if we want to use the filtered distribution or the distribution as is (False by default)

includeZeroValue

A boolean that indicate if you want to take into account the null score (False by default)

Examples

# \donttest{
data("ATC_Tree_UpperBound_2024")
data("FAERS_myopathy")

cocktails = list(c(561, 904),
               c(1902, 4585))
               
estimated_score_distribution = DistributionApproximation(epochs = 10,
            ATCtree = ATC_Tree_UpperBound_2024,
            observations = FAERS_myopathy)
            
Hypergeom_of_cocktails = compute_hypergeom_on_list(cocktails = cocktails,
                              ATCtree = ATC_Tree_UpperBound_2024, 
                              observations = FAERS_myopathy)
            
p_value = p_value_on_sampled(empirical_distribution = estimated_score_distribution,
      sampled_values = Hypergeom_of_cocktails)
# }