# kurtosis

##### Kurtosis

Functions to compute kurtosis.

- Keywords
- univar

##### Usage

`kurtosis(x, …)`# S3 method for default
kurtosis(x, na.rm = FALSE, method = c("excess", "moment", "fisher"), …)
# S3 method for data.frame
kurtosis(x, …)
# S3 method for POSIXct
kurtosis(x, …)
# S3 method for 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

```
# NOT RUN {
## mean -
## var -
# Mean, Variance:
r = rnorm(100)
mean(r)
var(r)
## kurtosis -
kurtosis(r)
# }
```

*Documentation reproduced from package timeDate, version 3043.102, License: GPL (>= 2)*