# sincdata: Generate random sinc data In rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces

## Description

Function draws `n` points uniformly from the interval [a, b], calculates the sinc (normalized sinc function) values for that points and adds a normal noise with a standard deviation of `noise` to these values.

## Usage

 `1` ```sincdata(n, noise = 0, a = -4, b = 4) ```

## Arguments

 `n` number of points to generate `noise` noise level to add to sinc values, i.e. standard deviation of normal noise `a` left bound of interval from which the xs are drawn, `a` must be smaller than `b` `b` right bound of interval from which the ys are drawn, `b` must be larger than `a`

## Value

Randomly generated sinc data

 `X` matrix with one column (i.e. a vector, but returned object is a matrix) containing the x-values `y` matrix with one row (i.e. a vector, but returned object is a matrix) containing the y-values

## Author(s)

Jan Saputra Mueller

## References

http://en.wikipedia.org/wiki/Sinc\_function

`sinc`
 ```1 2 3 4 5 6 7``` ```## generate 100 data points with noise level 0 ## drawn from the interval [-4,4] sincdata(100) ## generate 1000 data points with noise level 0.7 ## drawn from the interval [-10, 10] sincdata(100, 0.7, a = -10, b = 10) ```