reconstruct.genpca: Reconstruct data from a genpca fit

In genpca: Generalized Principal Component Analysis

Reconstruct data from a genpca fit

Description

Reconstructs (an approximation of) the original data from a genpca fit as ou[, comp] %*% diag(d[comp]) %*% t(ov[, comp]), followed by the inverse of the preprocessing transform. With all components and full rank this recovers the original data.

Usage

## S3 method for class 'genpca'
reconstruct(
  x,
  comp = 1:multivarious::ncomp(x),
  rowind = NULL,
  colind = NULL,
  ...
)

Arguments

x	A genpca object.
comp	Integer vector of components to use (default: all).
rowind	Optional integer vector of rows to reconstruct (default: all).
colind	Optional integer vector of columns to reconstruct (default: all). The inverse preprocessing transform is applied to the selected columns.
...	Ignored.

Value

A numeric matrix of dimension ⁠length(rowind) x length(colind)⁠.

See Also

genpca(), truncate.genpca()

Examples

X <- matrix(rnorm(60), 15, 4)
fit <- genpca(X, ncomp = 4, preproc = multivarious::center())
max(abs(reconstruct(fit) - X)) # ~ 0 at full rank

genpca documentation built on Sept. 17, 2026, 1:09 a.m.