circ_dist: Distance Matrix of Circular Variables
In monoClust: Perform Monothetic Clustering with Extensions to Circular Data

Description Usage Arguments Details Value References See Also Examples

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.

1	circ_dist(frame)

frame

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

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}.

Object of class "dist".

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

stats::dist()

# 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)