FreeSortR (version 1.3)

MdsSort: Mds of sorting data

Description

MdsSort returns the results of the multidimensional scaling of a list of dissimilarities. The Mds is based on smacof algorithm and may be metric or not metric.

Botstrap on subjects allows to draw confidence regions for the stimuli.

Usage

MdsSort(Part,ndim=2,nboot=0,metric=FALSE,ties="primary",itmax=5000,eps=1e-06)

Arguments

Part

Part is an object of class SortingPartition

ndim

Dimension of the Mds (default is ndim=2)

nboot

Number of bootstrap samples (default is nboot=0 for no bootstrap analysis)

metric

Metric or non metric Mds (default is metric=FALSE for non metric)

ties

Treatment of ties in case of non metric Mds

itmax

Number maximum of iterations

eps

Epsilon fot Mds computation

Value

An object of class SortingMds

Examples

# NOT RUN {
  data(AromaSort)
  Aroma<-SortingPartition(AromaSort)
  resMds<-MdsSort(Aroma,ndim=2)
# }