Computes different metrics for a given distributions

This function computes to compute a certain number of metrics on a dataset for each variable (rows, such as prevalence, quartile distribution, etc.)

Usage

computeFeatureMetrics(data)

Arguments

data:

a data frame containing the data to be treated.

Value

a data frame containing different metrics: variance_to_mean, signal_to_noise, variation_coefficient, efficiency and quartile_dispertion