fun.moments.r: Calculate mean, variance, skewness and kurtosis of a...
In GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions
fun.moments.r R Documentation
Calculate mean, variance, skewness and kurtosis of a numerical vector
Description
This function evaluates the mean, variance, skewness and kurtosis of a
numerical vector. Missing values are automatically removed.
Usage
fun.moments.r(x, normalise = "N")
Arguments
x
A numeric vector
normalise
"Y" if you want kurtosis to be calculated with reference
to kurtosis = 0 under Normal distribution. Default is "N".
Value
A vector of mean, variance, skewness and kurtosis.
Note
Please contact the author directly if you find a bug!
Author(s)
Steve Su
See Also
fun.theo.mv.gld
Examples
fun.moments.r(rnorm(1000))
fun.moments.r(rnorm(1000),normalise="Y")
GLDEX documentation built on Aug. 21, 2023, 9:08 a.m.
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| fun.moments.r | R Documentation |
Calculate mean, variance, skewness and kurtosis of a numerical vector
Description
This function evaluates the mean, variance, skewness and kurtosis of a numerical vector. Missing values are automatically removed.
Usage
fun.moments.r(x, normalise = "N")
Arguments
x |
A numeric vector |
normalise |
"Y" if you want kurtosis to be calculated with reference to kurtosis = 0 under Normal distribution. Default is "N". |
Value
A vector of mean, variance, skewness and kurtosis.
Note
Please contact the author directly if you find a bug!
Author(s)
Steve Su
See Also
fun.theo.mv.gld
Examples
fun.moments.r(rnorm(1000))
fun.moments.r(rnorm(1000),normalise="Y")
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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