DiStatis-class {kimod} | R Documentation

## Class `DiStatis` DiStatis S4 class (kimod: k-tables approach to integrate multiple Omics-Data Multiple dataset)

### 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.

### See Also

`CompPlot`, `Biplot` `DiStatis`, and additional related DiStatis class functions.

### Examples

     showClass("DiStatis")

[Package kimod version 1.12.0 Index]