skewness: Skewness
In npde: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models
skewness R Documentation
Skewness
Description
Computes the skewness.
Usage
skewness(x)
Arguments
x
a numeric vector containing the values whose skewness is to be
computed. NA values are removed in the computation.
Details
If N = \mathrm{length}(x), then the skewness of x
is defined as
N^{-1} \mathrm{sd}(x)^{-3} \sum_i (x_i -
\mathrm{mean}(x))^3.
Value
The skewness of x.
References
G. Snedecor, W. Cochran. Statistical Methods,
Wiley-Blackwell, 1989
Examples
x <- rnorm(100)
skewness(x)
npde documentation built on May 29, 2024, 9:59 a.m.
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| skewness | R Documentation |
Skewness
Description
Computes the skewness.
Usage
skewness(x)
Arguments
x |
a numeric vector containing the values whose skewness is to be computed. NA values are removed in the computation. |
Details
If N = \mathrm{length}(x), then the skewness of x
is defined as
N^{-1} \mathrm{sd}(x)^{-3} \sum_i (x_i -
\mathrm{mean}(x))^3.
Value
The skewness of x.
References
G. Snedecor, W. Cochran. Statistical Methods, Wiley-Blackwell, 1989
Examples
x <- rnorm(100)
skewness(x)
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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