# R: Kurtosis

kurtosis {timeDate} | R Documentation

## Kurtosis

### Description

Functions to compute kurtosis.

### Usage

    kurtosis(x, ...)

    ## Default S3 method:
    kurtosis(x, na.rm = FALSE, method = c("excess", "moment", "fisher"), ...)
    ## S3 method for class 'data.frame'
    kurtosis(x, ...)
    ## S3 method for class 'POSIXct'
    kurtosis(x, ...)
    ## S3 method for class 'POSIXlt'
    kurtosis(x, ...)

### 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.

### Value

`kurtosis`

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

### See Also

`link{skewness}`.

### Examples

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

    ## kurtosis -
       kurtosis(r)

[Package timeDate version 3043.102 Index]