DistatisR1.1.1 package

DiSTATIS Three Way Metric Multidimensional Scaling

distatis

3-Way MDS based on the "STATIS" optimization procedure.

DistatisR-package

implements three way metric multidimensional scaling: DISTATIS and COV...

GetCmat

GetCmat

GetRectCmat

GetRectCmat

GraphDistatisAll

This function combines the functionality of GraphDistatisCompromise,...

GraphDistatisBoot

GraphDistatisBoot Plot maps of the factor scores of the observations...

GraphDistatisCompromise

Plot maps of the factor scores of the observations for a DISTATISanaly...

GraphDistatisPartial

Plot maps of the factor scores and partial factor scores of the observ...

GraphDistatisRv

Plot maps of the factor scores (from the Rv matrix) of the distance ma...

ldiag

Left (i.e., pre) Multiply a matrix by a diagonal matrix

list2CubeOfCovDis

compute a cube of covariance and a cube of distance between the items ...

MFAnormCP

MFAnormCP

mmds

Metric (classical) Multidimensional Scaling (a.k.a Principal Coordinat...

NuclearNormedCP

NuclearNormedCP

OrangeJuiceSortingRawData

OrangeJuiceSortingRawData: an example of an excel file with Sorting ...

print.beersBlind

Change the print function for class 'beersBlind'

print.Cmat

Print C matrix results

print.cubeOfCovDis

Change the print function for the class cubeOfCovDis

print.cubeSort

Change the print function for cubeSort

print.dataAmari

Change the print function for the data set: dataAmari

print.dataSortingSpices

Change the print function for the data set: `multiculturalSortingSpice...

print.dataSortingWines

Change the print function for the data set: dataSortingWines

print.distatis.data

Change the print function for objects of class distatis.data output ...

print.DistatisR

Print DistatisR results

print.F_alpha_k

Print F_alpha_k results

print.F4voc

Change the print function for objects of the class 'F4voc' (e.g., ou...

print.Splus

Print S+ matrix results

print.str_BeersProjectiveMapping

Change the print function for the data set: `str_BeersProjectiveMappin...

print.voc4distatis

Change the print function for voc4distatis

projectVoc

Compute barycentric projections for count-like description of the item...

projMap2Cube

\ reshape a data matrix from projective mapping into a brick of data f...

rdiag

right (i.e., post) Multiply a matrix by a diagonal matrix

BeersFlashProfile

An example of an excel file storing the Flash Profile of 6 (fictitious...

BeersProjectiveMapping_xlsx

An example of an excel file with Projective Mapping data and vocabular...

BootFactorScores

Computes observation factor scores Bootstrap replicates from partial f...

BootFromCompromise

BootFromCompromise: Computes Bootstrap replicates of the (observatio...

Chi2Dist

Computes the chi2chi2 distance between the rows of a rectangular matrix ...

Chi2DistanceFromSort

Chi2DistanceFromSort: Creates a 3-dimensional chi2chi2distance array f...

computePartial4Groups

Computes group alphas and group factor scores for KK groups of observ...

ComputeSplus

ComputeSplus

CP2MFAnormedCP

CP2MFAnormedCP

CP2NuclearNormedCP

CP2NuclearNormedCP

CP2SUMPCAnormedCP

CP2SUMPCAnormedCP

createCubeOfCovDis

compute a cube of covariance and a cube of distance between the items ...

DblCenterDist

Double Center a distance matrix

Dist2CP

Dist2CP

DistanceFromRank

DistanceFromRank: Creates a 3-dimensional distance array from the re...

DistanceFromSort

Creates a 3-dimensional distance array from the results of a sorting t...

read.df.excel

read.df.excel reads distatis formated ranking or sorting data from...

rv

Function to compute the RV coefficient between to conformable matrices

scale1

A variation over the base R scale function that avoids the "divide b...

SUMPCAnormCP

SUMPCAnormCP

supplementalProjection4distatis

Supplementary element(s) projection in DISTATIS

vocabulary2CT

Transforms a data.frame of products by vocabulary of assessors into a ...

WinesRankingRawData

WinesRankingRawData: an example of an excel file with (simulated) ra...

Implement DiSTATIS and CovSTATIS (three-way multidimensional scaling). DiSTATIS and CovSTATIS are used to analyze multiple distance/covariance matrices collected on the same set of observations. These methods are based on Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012) <doi:10.1002/wics.198>.

  • Maintainer: Herve Abdi
  • License: GPL-2
  • Last published: 2022-12-05