bi_projector: Construct a bi_projector instance

In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis

Construct a bi_projector instance

Description

A bi_projector offers a two-way mapping from samples (rows) to scores and from variables (columns) to components. Thus, one can project from D-dimensional input space to d-dimensional subspace. And one can project (project_vars) from n-dimensional variable space to the d-dimensional component space. The singular value decomposition is a canonical example of such a two-way mapping.

Usage

bi_projector(v, s, sdev, preproc = prep(pass()), classes = NULL, ...)

Arguments

v	A matrix of coefficients with dimensions nrow(v) by ncol(v) (number of columns = number of components)
s	The score matrix
sdev	The standard deviations of the score matrix
preproc	(optional) A pre-processing pipeline, default is prep(pass())
classes	(optional) A character vector specifying the class attributes of the object, default is NULL
...	Extra arguments to be stored in the projector object.

Value

A bi_projector object

Examples

X <- matrix(rnorm(200), 10, 20)
svdfit <- svd(X)

p <- bi_projector(svdfit$v, s = svdfit$u %% diag(svdfit$d), sdev=svdfit$d)

bbuchsbaum/multivarious documentation built on April 15, 2024, 3:33 a.m.