misty (version 0.4.5)

kurtosis: Excess Kurtosis

Description

This function computes the excess kurtosis.

Usage

kurtosis(x, as.na = NULL, check = TRUE)

Arguments

x

a numeric vector.

as.na

a numeric vector indicating user-defined missing values, i.e. these values are converted to NA before conducting the analysis.

check

logical: if TRUE, argument specification is checked.

Value

Returns the estimated excess kurtosis of x.

Details

The same method for estimating kurtosis is used in SAS and SPSS. Missing values (NA) are stripped before the computation. Note that at least 4 observations are needed to compute excess kurtosis.

References

Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). Statistics in psychology - Using R and SPSS. New York: John Wiley & Sons.

See Also

skewness

Examples

# NOT RUN {
# Set seed of the random number generation
set.seed(123)
# Generate random numbers according to N(0, 1)
x <- rnorm(100)

# Compute excess kurtosis
kurtosis(x)
# }