plot.Ckmeans.1d.dp {Ckmeans.1d.dp} | R Documentation |

## Plot Optimal Univariate Clustering Results

### Description

Plot optimal univariate clustering results returned from `Ckmeans.1d.dp`

.

### Usage

```
## S3 method for class 'Ckmeans.1d.dp'
plot(x, xlab=NULL, ylab=NULL, main=NULL,
sub=NULL, col.clusters=NULL, ...)
## S3 method for class 'Ckmedian.1d.dp'
plot(x, xlab=NULL, ylab=NULL, main=NULL,
sub=NULL, col.clusters=NULL, ...)
```

### Arguments

`x` |
an object of class as returned by |

`xlab` |
a character string. The x-axis label for the plot. |

`ylab` |
a character string. The x-axis label for the plot. |

`main` |
a character string. The title for the plot. |

`sub` |
a character string. The subtitle for the plot. |

`col.clusters` |
a vector of colors, defined either by integers or by color names. If the length is shorter than the number of clusters, the colors will be reused. |

`...` |
arguments passed to |

### Details

The functions `plot.Ckmeans.1d.dp`

and `plot.Ckmedian.1d.dp`

visualize the input data as sticks whose heights are the weights. They use different colors to indicate clusters.

### Value

An object of class "`Ckmeans.1d.dp`

" or "`Ckmedian.1d.dp`

" defined in `Ckmeans.1d.dp`

.

### Author(s)

Joe Song

### Examples

```
# Example: clustering data generated from a Gaussian
# mixture model of three components
x <- c(rnorm(50, mean=-1, sd=0.3),
rnorm(50, mean=1, sd=0.3),
rnorm(50, mean=3, sd=0.3))
res <- Ckmeans.1d.dp(x)
plot(res)
y <- (rnorm(length(x)))^2
res <- Ckmeans.1d.dp(x, y=y)
plot(res)
res <- Ckmedian.1d.dp(x)
plot(res)
```

*Ckmeans.1d.dp*version 4.3.5 Index]