mdist: Mixed Measurement Level Euclidean Distances Function

In fmds: Multidimensional Scaling Development Kit

Mixed Measurement Level Euclidean Distances Function

Description

fastmixed returns Euclidean distances for variables from mixed measurement levels.

Usage

mdist(
  data,
  level = rep("numeric", ncol(data)),
  scale = FALSE,
  error.check = FALSE
)

Arguments

data	an n (objects) by m (variables) numerical data matrix .
level	measurement level variables: 1:numerical, 2:ordinal, 3:nominal (default = 1).
scale	boolean specifying scaling of distances such that sum-of-squares are n times n.
error.check	extensive check validity input parameters (default = FALSE).

Value

'dist' object with Euclidean distances between objects.

Author(s)

Frank M.T.A. Busing

References

Busing (2025). A Consistent Distance Measure for Mixed Data: Bridging the Gap between Euclidean and Chi-Squared Distances. Manuscript in progress.

fmds documentation built on June 8, 2025, 1:34 p.m.