empMoments: Empirical Moments
In PearsonDS: Pearson Distribution System
empMoments R Documentation
Empirical Moments
Description
Calculates the first four empirical moments (mean, variance, skewness,
kurtosis) of a numeric vector.
Usage
empMoments(x)
Arguments
x
(numeric) vector containing the data set.
Value
Named vector of length 4 containing mean, variance,
skewness and kurtosis (in this order).
Author(s)
Martin Becker martin.becker@mx.uni-saarland.de
See Also
PearsonDS-package
Examples
## Generate sample with given (theoretical) moments
DATA <- rpearson(25000,moments=c(mean=1,variance=2,skewness=1,kurtosis=5))
## Calculate corresponding empirical moments
empMoments(DATA)
PearsonDS documentation built on April 3, 2025, 5:37 p.m.
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| empMoments | R Documentation |
Empirical Moments
Description
Calculates the first four empirical moments (mean, variance, skewness, kurtosis) of a numeric vector.
Usage
empMoments(x)
Arguments
x |
(numeric) vector containing the data set. |
Value
Named vector of length 4 containing mean, variance,
skewness and kurtosis (in this order).
Author(s)
Martin Becker martin.becker@mx.uni-saarland.de
See Also
PearsonDS-package
Examples
## Generate sample with given (theoretical) moments
DATA <- rpearson(25000,moments=c(mean=1,variance=2,skewness=1,kurtosis=5))
## Calculate corresponding empirical moments
empMoments(DATA)
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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