rnorm.contam: Sample from a Normal distribution with outliers

In mdedge/stfspack: Functions to Support Statistical Thinking from Scratch

Description

Simulates a samples of normally distributed data, each "contaminated" with outliers from a different normal distribution according to a user-specified probability. Similar to rnorm.out, except that the order of arguments is different and the output is formatted as a vector.

Usage

rnorm.contam(n, mu = 0, sigma = 1, contam.p = 0.01, contam.mu = -5,
  contam.sigma = 0)

Arguments

n	The number of independent observations per sample
mu	The expectation of the target distribution.
sigma	The standard deviation of the target distribution.
contam.p	The probability that each observation is from the non-target distribution.
contam.mu	The expectation of the non-target / "contamination" / outlier distribution.
contam.sigma	The standard deviation of the outlier distribution.

Value

A vector of independent random numbers n entries.

Examples

rnorm.mix(20, 0, 1, .2, 10, 1)

mdedge/stfspack documentation built on May 9, 2019, 8:17 a.m.