dist.subjects: Distance matrix for subjects

In CluMix: Clustering and Visualization of Mixed-Type Data

Description

Get distance matrix for subjects (observations) based on variables of mixed data types

Usage

dist.subjects(data, weights, alwaysGower = FALSE)

Arguments

data	data frame
weights	optional vector of weights for variables in data
alwaysGower	controls the way distances are calculated in case of exclusively continuous data; if FALSE (default), Euclidean distances, if TRUE Gower's distances

Details

Distances between subjects are based on Gower's general similarity coefficient with an extension of Podani for ordinal variables, see gowdis. In the case that all variables are quantitative, either Euclidean distances or still Gower's distances can be used.

Value

An object of class dist

Author(s)

Manuela Hummel

References

Gower J (1971). A general coefficient of similarity and some of its properties. Biometrics, 27:857-871.

Podani J (1999). Extending Gower's general coefficient of similarity to ordinal characters. Taxon, 48(2):331-340.

See Also

dendro.subjects, similarity.subjects, dist.variables, mix.heatmap

Examples

data(mixdata)

D <- dist.subjects(mixdata)

## example with weights
w <- rep(1:2, each=5)
D <- dist.subjects(mixdata, weights=w)

CluMix documentation built on Jan. 21, 2019, 5:05 p.m.