addconst: Additive Constant Function for Classical Multidimensional...
In fmds: Multidimensional Scaling Development Kit
addconst R Documentation
Additive Constant Function for Classical Multidimensional Scaling
Description
addconst returns the smallest additive constant which,
added to the dissimilarities, makes the data true Euclidean distances.
Note: NA's are not allowed.
Usage
addconst(delta, faster = FALSE, error.check = FALSE)
Arguments
delta
an n by n square symmetric hollow matrix containing (non-negative) dissimilarities.
faster
logical indicating faster but less precise procedure
error.check
extensive check validity input (data) parameters (default = FALSE).
Value
additive constant
Author(s)
Frank M.T.A. Busing
References
Cailliez (1983)
fmds documentation built on June 8, 2025, 1:34 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| addconst | R Documentation |
Additive Constant Function for Classical Multidimensional Scaling
Description
addconst returns the smallest additive constant which,
added to the dissimilarities, makes the data true Euclidean distances.
Note: NA's are not allowed.
Usage
addconst(delta, faster = FALSE, error.check = FALSE)
Arguments
delta |
an n by n square symmetric hollow matrix containing (non-negative) dissimilarities. |
faster |
logical indicating faster but less precise procedure |
error.check |
extensive check validity input (data) parameters (default = FALSE). |
Value
additive constant
Author(s)
Frank M.T.A. Busing
References
Cailliez (1983)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.