# Documentation

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# manovacluster

Dendrogram of group mean clusters following MANOVA

## Syntax

`manovacluster(stats)manovacluster(stats,method)H = manovacluster(stats,method)`

## Description

`manovacluster(stats)` generates a dendrogram plot of the group means after a multivariate analysis of variance (MANOVA). `stats` is the output `stats` structure from `manova1`. The clusters are computed by applying the single linkage method to the matrix of Mahalanobis distances between group means.

See `dendrogram` for more information on the graphical output from this function. The dendrogram is most useful when the number of groups is large.

`manovacluster(stats,method)` uses the specified method in place of single linkage. `method` can be any of the following character vectors that identify ways to create the cluster hierarchy. (See `linkage` for additional information.)

MethodDescription

`'single'`

Shortest distance (default)

`'complete'`

Largest distance

`'average'`

Average distance

`'centroid'`

Centroid distance

`'ward'`

Incremental sum of squares

`H = manovacluster(stats,method)` returns a vector of handles to the lines in the figure.

## Examples

collapse all

```load carbig ```

Define the variable matrix.

```X = [MPG Acceleration Weight Displacement]; ```

Perform one-way MANOVA to compare the means of MPG, Acceleration, Weight,and Displacement grouped by Origin.

```[d,p,stats] = manova1(X,Origin); ```

Create a dendrogram plot of the group means.

```manovacluster(stats) ```