R: Regression and Classification Toy Data Set

noisySine {CVST} | R Documentation

## Regression and Classification Toy Data Set

### Description

Regression and Classification Toy Data Set based on the sine and sinc function.

### Usage

    noisySine(n, dim = 5, sigma = 0.25)
    noisySinc(n, dim = 2, sigma = 0.1)

### Arguments

`n` | Number of data points that should be generated.
`dim` | Intrinsic dimensionality of the data set (see references for details).
`sigma` | Standard deviation of the noise component.

### Value

Returns a data set of type CVST.data

### Author(s)

Tammo Krueger <tammokrueger@googlemail.com>

### References

Tammo Krueger, Danny Panknin, and Mikio Braun. Fast cross-validation via sequential analysis. Neural Information Processing Systems (NIPS), Big Learning Workshop, 2011. URL http://biglearn.org/2011/index.php/Papers\#paper2.

Tammo Krueger, Danny Panknin, and Mikio Braun. Fast cross-validation via sequential testing. CoRR, abs/1206.2248, 2012. URL http://arxiv.org/abs/1206.2248.

### See Also

`constructData`

### Examples

    nsine = noisySine(1000)
    plot(nsine, col=nsine$y)
    nsinc = noisySinc(1000)
    plot(nsinc)

[Package CVST version 0.2-1 Index]