# DiStatis-Class: Class 'DiStatis' DiStatis S4 class (kimod: k-tables approach... In kimod: A k-tables approach to integrate multiple Omics-Data

## Description

Statis with Distance options implementation.

## Features

1. DiStatis (Statis with Distance options)

2. Bootstrap Implementation

3. Biplot Implementation with variable selection

4. Clustering of variables

5. Plotting compromise, bootstrap, trajectories, Biplot.

## Fields

• distances.methods: The character indicating the metrics used.

• Inertia.RV: Inertia (%) explained for all tables.

• RV: Vectorial Correlation Matrix between studies.

• Euclid.Im: Euclidean Image of all studies.

• Inertia.Comp: Inertia (%) explained for all dimensions of compromise matrix.

• Compromise.Coords: Projection of all observations in compromise (Coords).

• Compromise.Matrix: Compromise Matrix from statis methodology.

• RQO: Representation Quality of observations in compromise matrix.

• Trajectories: List of trajectories from Statis methodology

## Accesors

• `Inertia.RV(x)`, `Inertia.RV(x) <- value`: Inertia (%) explained for all tables.

• `RV(x)`, `RV(x) <- value`: Vectorial Correlation Matrix between studies.

• `Euclid.Im(x)`,`Euclid.Im(x) <- value` : Euclidean Image of all studies.

• `Inertia.Comp(x)`,`Inertia.Comp(x) <- value` :: Inertia (%) explained for all dimensions of compromise matrix.

• `Compromise.Coords(x)`,`Compromise.Coords(x) <- value`: Projection of all observations in compromise (Coords).

• `Compromise.Matrix(x)`,`Compromise.Matrix(x) <- value`: Compromise Matrix from statis methodology.

• `RQO(x)`,`RQO(x) <- value`: Representation Quality of observations in compromise matrix.

• `Trajectories(x)`,`Trajectories(x) <- value`: List of trajectories from Statis methodology.

## DiStatis-general-functions

print

Basic output for DiStatis class

summary

Basic statistics for DiStatis class

DiStatis

Getters for their respective slots.

## Author(s)

M L Zingaretti, J A Demey-Zambrano, J L Vicente Villardon, J R Demey

## References

1. Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012). STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling. WIREs Comput Stat, 4, 124-167.

2. Escoufier, Y. (1976). Operateur associe a un tableau de donnees. Annales de laInsee, 22-23, 165-178.

3. Escoufier, Y. (1987). The duality diagram: a means for better practical applications. En P. Legendre & L. Legendre (Eds.), Developments in Numerical Ecology, pp. 139-156, NATO Advanced Institute, Serie G. Berlin: Springer.

4. L'Hermier des Plantes, H. (1976). Structuration des Tableaux a Trois Indices de la Statistique. [These de Troisieme Cycle]. University of Montpellier, France.

`CompPlot`, `Biplot` `DiStatis`, and additional related DiStatis class functions.
 `1` ``` showClass("DiStatis") ```