circ_dist: Distance Matrix of Circular Variables

In vinhtantran/monoClust: Perform Monothetic Clustering with Extensions to Circular Data

Description

Calculates the distance matrix of observations with circular variables using an adapted version of Gower's distance. This distance should be compatible with the Gower's distance for other variable types.

Usage

circ_dist(frame)

Arguments

frame

A data frame with all columns are circular measured in degrees.

Details

The distance between two observations i and j of a circular variable q is suggested to be

(y_{iq}, y_{jq}) = \frac{180 - |180 - |y_{iq} - y_{jq}||}{180}.

Value

Object of class "dist".

References

• Tran, T. V. (2019). Chapter 3. Monothetic Cluster Analysis with Extensions to Circular and Functional Data. Montana State University - Bozeman.

See Also

stats::dist()

Examples

# Make a sample data set of 20 observations with 2 circular variables
data <- data.frame(var1 = sample.int(359, 20),
                   var2 = sample.int(359, 20))
circ_dist(data)

vinhtantran/monoClust documentation built on March 12, 2021, 11:11 p.m.