# R: Skewness

skewness {timeDate} | R Documentation

## Skewness

### Description

Functions to compute skewness.

### Usage

    skewness(x, ...)

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

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

    ## skewness -
       skewness(r)

[Package timeDate version 3043.102 Index]