Last data update: 2014.03.03
|
R: Skewness and (excess) Kurtosis of a vector of values
Skewness and (excess) Kurtosis of a vector of values
Description
These functions calculate skewness and excess kurtosis of a vector of values. They were taken from the package 'moments'.
Usage
skewness(x, na.rm = FALSE)
kurtosis(x, na.rm = FALSE)
Arguments
x |
a numeric vector, matrix or data frame.
|
na.rm |
logical. Should missing values be removed?
|
Details
Skewness:
frac{frac{1}{n} ∑_{i=1}^n (x_i-overline{x})^3}{≤ft(frac{1}{n} ∑_{i=1}^n (x_i-overline{x})^2
ight)^{3/2}}
(Excess) Kurtosis:
frac{frac{1}{n} ∑_{i=1}^n (x_i - overline{x})^4}{≤ft(frac{1}{n} ∑_{i=1}^n (x_i - overline{x})^2
ight)^2} - 3
Value
The skewness/kurtosis values.
Author(s)
Andrej-Nikolai Spiess
Examples
X <- rnorm(100, 20, 2)
skewness(X)
kurtosis(X)
Results
|