kurtosis {PerformanceAnalytics}R Documentation

Kurtosis

Description

compute kurtosis of a univariate distribution

Usage

kurtosis(x, na.rm = FALSE, method = c("excess", "moment", "fisher"), ...)

Arguments

na.rm a logical. Should missing values be removed?
method a character string which specifies the method of computation. These are either "moment", "fisher", or "excess". If "excess" is selected, then the value of the kurtosis is computed by the "moment" method and a value of 3 will be subtracted. The "moment" method is based on the definitions of kurtosis for distributions; these forms should be used when resampling (bootstrap or jackknife). The "fisher" method correspond to the usual "unbiased" definition of sample variance, although in the case of kurtosis exact unbiasedness is not possible.
x a numeric vector or object.
... arguments to be passed.

Details

This function was ported from the RMetrics package fUtilities to eliminate a dependency on fUtilties being loaded every time. This function is identical except for the addition of checkData and additional labeling.

Value

kurtosis returns the value of the statistics, a numeric value. An attribute which reports the used method is added.

Author(s)

Diethelm Wuertz

See Also

skewness.

Examples

## mean -
## var -
   # Mean, Variance:
   r = rnorm(100)
   mean(r)
   var(r)

## kurtosis -
   kurtosis(r)

data(managers)
kurtosis(managers[,1:8])
[Package PerformanceAnalytics version 0.9.9-5 Index]