DistatisR

BootFactorSCores Compute observation Bootstrap replicates of the factor scores from partial factor scores

Compute observation Bootstrap replicates of the factor scores from bootstrapped compromises

chi2 distance between the rows of a rectangular matrix.

Creates a 3-dimensional chi2 distance array from the results of a sorting task.

Four computer algorithms evaluate the similiarity of six faces for distatis analysis

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

DistatisR: DISTATIS Three Way Metric Multidimensional Scaling

This function combines the functionality of GraphDistatisCompromise, GraphDistatisPartial, GraphDistatisBoot, and GraphDistatisRv.

Plot maps of the factor scores of the observations and their bootstrapped confidence intervals (as confidence ellipsoids or peeled hulls) for a DISTATIS analysis.

Plot maps of the factor scores of the observations for a DISTATIS analysis

Plot maps of the factor scores and partial factor scores of the observations for a DISTATIS analysis.

Plot maps of the factor scores (from the Rv matrix) of the distance matrices for a DISTATIS analysis

Ten Assessors sorted eight beers for distatis analysis

21 French assessors sorted 16 blends of Spice for distatis analysis

distatis 3-Way MDS based on the STATIS optimization procedure

mmds Metric (classical) Multidimensional Scaling (a.k.a Principal Coordinate Analysis) of a (Euclidean) Distance Matric

Print C matrix results

Print S+ matrix results

Print DistatisR results