# skewness

##### Skewness

Functions to compute skewness.

- Keywords
- univar

##### Usage

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

or`"fisher"`

The`"moment"`

method is based on the definitions of skewnessfor 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 skewness exact unbiasedness is not possible.- x
a numeric vector or object.

- …
arguments to be passed.

##### Value

`skewness`

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

##### See Also

`link{kurtosis}`

.

##### Examples

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

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