fmds (version 0.1.5)

fasterstress: Faster Stress Function

Description

fasterstress calculates stochastic normalized stress. Neither data nor distances based on z are optimally scaled.

Usage

fasterstress(data = NULL, z = NULL, nsamples = 100, samplesize = 30)

Value

n.stress normalized stress, mean over samples and observations

se standard error of se, standard deviation over samples

Arguments

data

an n by m multivariate data matrix.

z

n by p matrix with coordinates.

nsamples

number of samples

samplesize

sample size

Author

Frank M.T.A. Busing

References

agrafiotis, and others, and busing

Examples

n <- 10000
m <- 10
data <- matrix( runif( n * m ), n, m )
p <- 2
zinit <- matrix( runif( n * p ), n, p )
# r <- fastermds( data = data, p = p, z = zinit )
# s <- fasterstress( data = data, z = r )