dist-normRobMoments: Robust Moments for the NORM

Description Usage Arguments Value Author(s) Examples

Description

Computes the first four robust moments for the Normal Distribution.

Usage

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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

All values for the *norm functions are numeric vectors: d* returns the density, p* returns the distribution function, q* returns the quantile function, and r* generates random deviates.

All values have attributes named "param" listing the values of the distributional parameters.

Author(s)

Diethelm Wuertz.

Examples

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

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

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

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

fBasics documentation built on March 13, 2020, 9:09 a.m.