GSA.UN (version 1.0.0)

Bstat: Basic statistical measures of a mathematical model results

Description

This function calculates the mean, variance, skewness, kurtosis and excess kurtosis of a model output, this output can be given for different temporal periods (days, months or years).

Usage

Bstat(out_set)

Arguments

out_set

matrix of dimensions n x t, where n equals the number of runs and t is equal to the number of temporary steps.

Value

a data frame of dimensions t x 6, here t is the number of temporary steps and each column corresponds to a statistical measure: mean, variance, skewness, kurtosis and excess kurtosis.

Examples

# NOT RUN {
data("out_set")
data_Bstat <- Bstat(out_set)

# }