skewness {timeDate}

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, na.rm = FALSE, method = c("moment", "fisher"), ...)

## S3 method for class 'POSIXct'
skewness(x, ...)

## S3 method for class 'POSIXlt'
skewness(x, ...)

Arguments

x

a numeric vector or object.

na.rm

a logical. Should missing values be removed?

method

a character string, the method of computation, see section ‘Detaials’.

...

arguments to be passed.

Details

Argument method can be one of "moment" or "fisher". The "moment" method is based on the definitions of skewness for distributions and this 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.

Value

a numeric value or vector with attribute "method" indicating the method.

See Also

kurtosis

Examples

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