Description
Functions to calculate moments, skewness, and Pearson's measure of kurtosis. The latter is defined as the ratio of the 4th central moment and the squared second central moment. For a theoretical normal distribution, the kurtosis equals 3.
Usage
moment(z, p = 1, central = TRUE, na.rm = TRUE)skewness(z, na.rm = TRUE)
kurtosis(z, na.rm = TRUE)
Value
A numeric vector of length one.
Arguments
- z
Numeric vector.
- p
Order of moment.
- central
Should central moment be calculated? Default is TRUE.
- na.rm
Should missing values be removed? Default is TRUE. Otherwise, the result will be NA if missing values are present.
Examples
Run this codex <- 1:100
moment(x, 4)
skewness(x)
kurtosis(x)
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