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.

See Also

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

Examples

 showClass("DiStatis")

kimod documentation built on April 28, 2020, 9:21 p.m.