R: Generate Data With Contamination

gen.data {robust} | R Documentation

## Generate Data With Contamination

### Description

Generates a random dataset with some amount of contaimination.

### Usage

    gen.data(coeff, n = 100, eps = 0.1, sig = 3, snr = 1/20, seed = 837)

### Arguments

`coeff` | a numeric vector of length 3 containing the true coefficients.
`n` | a positive integer giving the number of observations in the data set.
`eps` | a numeric value between 0 and 0.5 specifying the fraction of contamination.
`sig` | a positive numeric value giving the standard deviation of the uncontaminated data.
`snr` | a positive numeic value giving the signal to noise ratio, well not really.
`seed` | an integer value giving the seed for the random number generator.

### Value

a data frame with `n` rows and 4 columns. The regressors are generated as: `rnorm(n,1)`, `rnorm(n,1)^3`, `exp(rnorm(n,1))`. It also generates an unused vector `x4`.

[Package robust version 0.6-1 Index]