Robust moments for the Normal distribution — normRobMoments • fBasics

Computes the first four robust moments for the Normal distribution.

Usage

normMED(mean = 0, sd = 1)
normIQR(mean = 0, sd = 1)
normSKEW(mean = 0, sd = 1)
normKURT(mean = 0, sd = 1)

Arguments

mean: locaiton parameter.
sd: scale parameter.

Value

a named numerical value. The name is one of MED, IQR, SKEW, or KURT, obtained by dropping the gh prefix from the name of the corresponding function.

Author

Diethelm Wuertz

Examples

## normMED -
   # Median:
   normMED(mean = 0, sd = 1)
#> MED 
#>   0 

## normIQR -
   # Inter-quartile Range:
   normIQR(mean = 0, sd = 1)
#>     IQR 
#> 1.34898 

## normSKEW -
   # Robust Skewness:
   normSKEW(mean = 0, sd = 1)
#> SKEW 
#>    0 

## normKURT -
   # Robust Kurtosis:
   normKURT(mean = 0, sd = 1)
#>     KURT 
#> 1.233095