R: DiSTATIS Three Way Metric Multidimensional Scaling

# DiSTATIS Three Way Metric Multidimensional Scaling

## Documentation for package ‘DistatisR’ version 1.1.2

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

DistatisR-package | implements three way metric multidimensional scaling: DISTATIS and COVSTATIS.
amariSorting | 25 assessors twice sort and describe 12 amaris (i.e., bitter)
beersBlindSorting | Novices and Experts sorted 3 types of beers from 3 different brewers without and without seeing the beers.
BeersFlashProfile | An example of an excel file storing the Flash Profile of 6 (fictitious) assessors evaluating 7 (imaginary) beers. This excel file can be read by 'read.df.excel'.
BeersProjectiveMapping | 7 (fictitious) assessors sort and verbally describe 7 Beers using _Projective Mapping_.
BeersProjectiveMapping_xlsx | An example of an excel file with Projective Mapping data and vocabulary. This excel file can be read by 'read.df.excel'.
BeersProjectiveNapping | 7 (fictitious) assessors sort and verbally describe 7 Beers using _Projective Mapping_.
BeersProjectiveNapping_xlsx | An example of an excel file with Projective Mapping data and vocabulary. This excel file can be read by 'read.df.excel'.
BootFactorScores | Computes observation factor scores Bootstrap replicates from partial factor scores.
BootFromCompromise | 'BootFromCompromise': Computes Bootstrap replicates of the (observation) factor scores by creating bootstrapped compromises.
Chi2Dist | Computes the chi2 distance between the rows of a rectangular matrix (with positive elements).
Chi2DistanceFromSort | 'Chi2DistanceFromSort': Creates a 3-dimensional chi2 distance array from the results of a sorting task.
computePartial4Groups | Computes group alphas and group factor scores for K groups of observations in 'distatis'.
ComputeSplus | ComputeSplus
CovSTATIS | 3-Way MDS based on the "STATIS" optimization procedure.
covstatis | 3-Way MDS based on the "STATIS" optimization procedure.
CP2MFAnormedCP | CP2MFAnormedCP
CP2NuclearNormedCP | CP2NuclearNormedCP
CP2SUMPCAnormedCP | CP2SUMPCAnormedCP
createCubeOfCovDis | compute a cube of covariance and a cube of distance between the items (rows) of a brick of measurements (when all blocks have the same number of variables).
DblCenterDist | Double Center a distance matrix
Dist2CP | Dist2CP
DistAlgo | Four computer algorithms evaluate the similarity of six faces for distatis analysis
DistanceFromRank | 'DistanceFromRank': Creates a 3-dimensional distance array from the results of a ranking task.
DistanceFromSort | Creates a 3-dimensional distance array from the results of a sorting task.
DiSTATIS | 3-Way MDS based on the "STATIS" optimization procedure.
distatis | 3-Way MDS based on the "STATIS" optimization procedure.
DiSTATISR | implements three way metric multidimensional scaling: DISTATIS and COVSTATIS.
DistatisR | implements three way metric multidimensional scaling: DISTATIS and COVSTATIS.
GetCmat | GetCmat
GetRectCmat | GetRectCmat
GraphDistatisAll | This function combines the functionality of 'GraphDistatisCompromise', 'GraphDistatisPartial', 'GraphDistatisBoot', and 'GraphDistatisRv'.
GraphDistatisBoot | 'GraphDistatisBoot' Plot maps of the factor scores of the observations and their bootstrapped confidence intervals (as confidence ellipsoids or peeled hulls) for a DISTATIS analysis.
GraphDistatisCompromise | Plot maps of the factor scores of the observations for a DISTATIS analysis
GraphDistatisPartial | Plot maps of the factor scores and partial factor scores of the observations for a DISTATIS analysis.
GraphDistatisRv | Plot maps of the factor scores (from the Rv matrix) of the distance matrices for a DISTATIS analysis
list2CubeOfCovDis | compute a cube of covariance and a cube of distance between the items (rows) of a matrix of measurements comprising K different blocks of possibly different number of variables.
MFAnormCP | MFAnormCP
mmds | Metric (classical) Multidimensional Scaling (a.k.a Principal Coordinate Analysis) of a (squared Euclidean) Distance Matrix.
multiculturalSortingSpices | 62 assessors from 5 countries sort 16 spice samples
NuclearNormedCP | NuclearNormedCP
OrangeJuiceSortingRawData | 'OrangeJuiceSortingRawData': an example of an excel file with Sorting data and vocabulary. This excel file can be read by 'read.df.excel'.
projectVoc | Compute barycentric projections for count-like description of the items of a 'distatis'-type of analysis.
projMap2Cube | \ reshape a data matrix from projective mapping into a brick of data for a 'distatis' analysis.
read.df.excel | 'read.df.excel' reads 'distatis' formated ranking or sorting data from an excel file.
rv | Function to compute the RV coefficient between to conformable matrices
scale1 | A variation over the base 'R' scale function that avoids the "divide by 0 = NA" problem.
Sort | Ten Assessors sorted eight beers for 'distatis' analysis
SortingBeer | Ten Assessors sorted eight beers for 'distatis' analysis
SortingSpice | 21 French assessors sorted 16 blends of Spice for 'distatis' analysis
sortingWines | Novices and wines experts sort red, rosé, and white wines
SortSpice | 21 French assessors sorted 16 blends of Spice for 'distatis' analysis
SUMPCAnormCP | SUMPCAnormCP
supplementalProjection4distatis | Supplementary element(s) projection in DISTATIS
vocabulary2CT | Transforms a data.frame of products by vocabulary of assessors into a products by words (from vocabulary) contingency table.
WinesRankingRawData | 'WinesRankingRawData': an example of an excel file with (simulated) ranking data. Can be read with the function 'read.df.excel()'.