fmds (version 0.1.5)

mdist: 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
)

Value

'dist' object with Euclidean distances between objects.

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).

Author

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.