MdsSort function

Mds of sorting data

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.

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

Returns

An object of class SortingMds

Examples

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