fasterstress {fmds} | R Documentation |
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)
Arguments
data |
an n by m multivariate data matrix. |
z |
n by p matrix with coordinates. |
nsamples |
number of samples |
samplesize |
sample size |
Value
n.stress normalized stress, mean over samples and observations
se standard error of se, standard deviation over samples
Author(s)
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 )
[Package fmds version 0.1.5 Index]