DistStatis-class {LinkHD} | R Documentation

## Class `DistStatis` DistStatis S4 class (linkHD:Multiple Heterogeneous Dataset Integration) Statis with Distance options implementation.

### Description

Class `DistStatis` DistStatis S4 class (linkHD:Multiple Heterogeneous Dataset Integration) Statis with Distance options implementation.

### Features

1. DistStatis (implements Statis method incorporating Distance options to integrate multiple heterogeneous datasets)

2. Implement a LM (Linear Model) to variable selection

3. Incorporate a method to variable clustering

4. Incorporate some visualization tools: Compromise visualization, Relationship-visualization

### Fields

- RV: Vectorial Correlation Matrix between studies.

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

- 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.

- TableProjections: Projection of each table on Compromise configuration

@slot RV: Vectorial Correlation Matrix between studies. @slot Inertia.RV: Inertia (%) explained for all tables. @slot Euclid.Im: Euclidean Image of all studies. @slot Inertia.comp: Inertia (%) explained for all dimensions of compromise matrix. @slot Compromise.Coords: Projection of all observations in compromise (Coords). @slot Compromise.Matrix: Compromise Matrix from statis methodology. @slot RQO: Representation Quality of observations in compromise matrix. @slot TableProjections: Projection of each table on Compromise configuration

### DistStatis-general-functions

DistStatis

  Getters for their respective slots.

@author Laura M Zingaretti

### Examples

    {
    showClass('DistStatis')
    }

[Package LinkHD version 1.6.0 Index]