nmf.rrr.signed.heatmap: Heatmap visualization of nmfae.signed factor matrices

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Heatmap visualization of nmfae.signed factor matrices

Description

Displays the factor blocks of a nmfae.signed fit as side-by-side heatmaps. Non-negative blocks (X_1, C_{+}, C_{-}, X_2) use the white-orange-red palette; the signed combined bottleneck C = C_{+} - C_{-} is rendered with a diverging blue-white-red palette so positive and negative weights are visually distinguishable.

Usage

nmf.rrr.signed.heatmap(
  x,
  Y1.label = NULL,
  X1.label = NULL,
  X2.label = NULL,
  Y2.label = NULL,
  palette.pos = NULL,
  palette.signed = NULL,
  show.C = TRUE,
  ...
)

Arguments

x	An object of class "nmfae.signed".
Y1.label	Character vector for rows of X_1.
X1.label	Decoder basis labels.
X2.label	Encoder basis labels.
Y2.label	Input variable labels.
palette.pos	Palette for non-negative blocks. Default white-orange-red.
palette.signed	Palette for signed C. Default blue-white-red.
show.C	Logical. If TRUE (default), shows the combined signed C = C_{+} - C_{-} as a separate panel.
...	Not used.

Value

Invisible NULL. Called for its side effect (plot).

Lifecycle

This function is experimental. The interface may change in future versions.

References

Ding, C. H. Q., Li, T., & Jordan, M. I. (2010). Convex and semi-nonnegative matrix factorizations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1), 45–55.

See Also

nmfae.signed, nmfae.heatmap

Examples

set.seed(1)
Y1 <- matrix(abs(rnorm(12)), 3, 4)
Y2 <- matrix(abs(rnorm(20)), 5, 4)
res <- nmf.rrr.signed(Y1, Y2, rank1 = 2, rank2 = 2, maxit = 200)
nmf.rrr.signed.heatmap(res)

nmfkc documentation built on July 14, 2026, 1:07 a.m.