dimest.R2: Estimate dimensionality by R-squared

In markallenthornton/dimest: Dissimilarity Matrix Dimensionality Estimation

Description

Estimate dimensionality by change in multdimensional scaling R-squared

Usage

dimest.R2(dmat,epsratio=.1,mds.control=list(type="ordinal",itmax=1000))

Arguments

dmat	vectorized dissimilarity matrix epsratio convergence ratio, defaults to .1 mds.control list of smacofSym parameters: type, defaults to "ordinal"; itmax, defaults to 1000

Details

Defines identity matrix of dimensions n x n. Reproduces functionality of identically named MATLAB function.

Value

ndim estimated number of dimensions r2 R-squared of configuration with ndim dimensions

See Also

smacofSym dimest dimest.cv

Examples

set.seed(1)
dat <- matrix(rnorm(200),100,2)
dmat <- as.vector(dist(dat))
dimR2fit <- dimest.R2(dmat)

markallenthornton/dimest documentation built on May 21, 2019, 11:48 a.m.