multivarious (version 0.2.0)

multiblock_projector: Create a Multiblock Projector

Description

Constructs a multiblock projector using the given component matrix (v), a preprocessing function, and a list of block indices. This allows for the projection of multiblock data, where each block represents a different set of variables or features.

Usage

multiblock_projector(
  v,
  preproc = prep(pass()),
  ...,
  block_indices,
  classes = NULL
)

Value

A multiblock_projector object.

Arguments

v

A matrix of components with dimensions nrow(v) by ncol(v) (number of columns = number of components).

preproc

A pre-processing function for the data (default is a pass-through with prep(pass())).

...

Extra arguments.

block_indices

A list of numeric vectors specifying the indices of each data block.

classes

(optional) A character vector specifying the class attributes of the object, default is NULL.

See Also

projector

Examples

# Generate some example data
X1 <- matrix(rnorm(10 * 5), 10, 5)
X2 <- matrix(rnorm(10 * 5), 10, 5)
X <- cbind(X1, X2)

# Compute PCA on the combined data
pc <- pca(X, ncomp = 8)

# Create a multiblock projector using PCA components and block indices
mb_proj <- multiblock_projector(pc$v, block_indices = list(1:5, 6:10))

# Project the multiblock data using the multiblock projector
mb_scores <- project(mb_proj, X)