rcnx: Fat-Finger Error Contaminated Normal Deviates

In npsm: Nonparametric Statistical Methods

Fat-Finger Error Contaminated Normal Deviates

Description

Generate random data from a contaminated normal distribution where the contaimation is a multiplicative factor. As, for example, in cases of data recorded in incorrect units or incorrect decimal point.

Usage

rcnx100(n,eps=0.001,x=100,mu=0,sigma=1,...)
rcnx(...)
rcnx_01_100(n)

Arguments

n	sample size to be drawn.
eps	amount (probability) of contaminated observations
x	multiplier for the contaminated observations
mu	mean of uncontaminated samples
sigma	standard deviation of uncontaminated samples
...	optional arguments.

Details

Samples are drawn from a random normal distribution with mean mu and standard deviations. A fraction of the observations (eps) are multiplied by the factor x. rcnx is an alias for rcnx100. rcnx_01_100 is a special case where the observations are drawn from a standard normal distribution (i.e., mu=0 and sigma=1 — the defaults in rcnx100) and eps and x are specified as 0.01 and 100, respectively.

Value

Numeric vector of length n is returned.

Author(s)

John Kloke

References

https://en.wikipedia.org/wiki/Fat-finger_error

See Also

rcn

Examples

set.seed(101); x1 <- rcnx100(10)
set.seed(101); x2 <- rcnx(10)
set.seed(101); x3 <- rcnx_01_100(10)

qqnorm(rcnx(10000,eps=0.005,x=10))
qqnorm(rcnx(1000,eps=0.05,x=1/100))

npsm documentation built on May 29, 2024, 3:07 a.m.