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stats-skewness

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)
timeDate

Rmetrics - Chronological and Calendar Objects

v3043.102
GPL (>= 2)
Authors
Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Martin Maechler [ctb], Joe W. Byers [ctb]
Initial release
2018-02-21

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