Bstat: Basic statistical measures of a mathematical model results
In cagarciae/GSA.UN: Global Sensitivity Analysis Tool
Bstat R Documentation
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.
Author(s)
Camila Garcia-Echeverri <cagarciae@unal.edu.co>
Hydrodynamics of the natural media research group - HYDS
National University of Colombia - Bogota
Examples
data("out_set")
data_Bstat <- Bstat(out_set)
cagarciae/GSA.UN documentation built on Aug. 25, 2022, 11:55 p.m.
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| Bstat | R Documentation |
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.
Author(s)
Camila Garcia-Echeverri <cagarciae@unal.edu.co>
Hydrodynamics of the natural media research group - HYDS National University of Colombia - Bogota
Examples
data("out_set")
data_Bstat <- Bstat(out_set)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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