kurtosis

0th

Percentile

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}.

Aliases
  • kurtosis
  • kurtosis.default
  • kurtosis.data.frame
  • kurtosis.POSIXct
  • kurtosis.POSIXlt
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)

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