# mlbench.2dnormals

From mlbench v2.1-1
by Friedrich Leisch

##### 2-dimensional Gaussian Problem

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`

.

- Keywords
- datagen

##### 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

- x
- input values
- classes
- factor vector of length
`n`

with target classes

`"bayes.2dnormals"`

with components
##### Examples

`library(mlbench)`

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

*Documentation reproduced from package mlbench, version 2.1-1, License: GPL-2*

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