MdsSort: Mds of sorting data

In FreeSortR: Free Sorting Data Analysis

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

  data(AromaSort)
  Aroma<-SortingPartition(AromaSort)
  resMds<-MdsSort(Aroma,ndim=2)

FreeSortR documentation built on May 2, 2019, 2:47 p.m.