mlbench.2dnormals {mlbench} | R Documentation

## 2-dimensional Gaussian Problem

### Description

Each of the `cl` classes consists of a 2-dimensional Gaussian. The centers are equally spaced on a circle around the origin with radius `r`.

### Usage

    mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1)

### Arguments

`n` | number of patterns to create
`cl` | number of classes
`r` | radius at which the centers of the classes are located
`sd` | standard deviation of the Gaussians

### Value

Returns an object of class `"bayes.2dnormals"` with components

`x` | input values
`classes` | factor vector of length `n` with target classes

### Examples

    # 2 classes
    p <- mlbench.2dnormals(500,2)
    plot(p)
    # 6 classes
    p <- mlbench.2dnormals(500,6)
    plot(p)

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