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manovacluster

Dendrogram of group mean clusters following MANOVA

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Syntax

manovacluster(stats)
manovacluster(stats,method)
manovacluster(ax,___)
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 one of these values, which identify the methods used 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

manovacluster(ax,___) plots into the axes specified by ax instead of the current axes (gca) using any of the input argument combinations in the previous syntaxes. (since R2024a)

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

Examples

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Open Live Script

Load the sample data.

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)

Figure contains an axes object. The axes object contains 6 objects of type line.

Version History

Introduced before R2006a

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See Also

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