ComDim-classes: MultiBlock object
In f-puig/R.ComDim: ComDim analysis under R environment

ComDim-classes

R Documentation

MultiBlock object

Description

Object of the type MultiBlock, to use as input for ComDim analyses.

The output of a ComDim analysis.

Slots

Samples: vector with the sample names. If this data is not available, the slot will be filled with integers.
Data: A list with the data-blocks.
Variables: A character vector with the variable names. If this data is not available, the slot will be filled with integers.
Batch: A list with the vectors with the batch information for each data-block. Facultative.
Metadata: A list with the samples metadata.
Method: The algorithm used in the core of the ComDim analysis (ex. PCA, PLS,...)
ndim: The number of components.
Q.scores: The Global scores.
T.scores: The Local scores.
P.loadings: The Loadings
Saliences: The Saliences
R2X: The explained variance of the MultiBlock.
R2Y: For regression or discriminant models, the explained variance of the Y-block.
Q2: For regression or discriminant models, the predicted variance of the Y-block.
DQ2: For discriminant models, the predicted discriminant variance of the Y-block.
Singular: The singular values.
Mean: The mean values for each variable in the MultiBlock.
Norm: The norm values for each variable in the MultiBlock.
PLS.model: For ComDim analyses using PLS as core algorithm, it contains the W, B, B0 and Y).
cv: For ComDim_KOPLS, it contains the index of the samples used during the cross-validation.
Prediction: A list with the predicted Y, the decision rule used for sample classification, the sensitivity, the specificity, and a confusion matrix.
Metadata: vector with the sample names. If this data is not available, the slot will be filled with integers.
variable.block: A vector with the same length than the P.loadings indicating the block each variable belongs to.
runtime: The used running time.