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Heatmap visualization of nmfae factor matrices

Source: R/nmfae.R
nmfae.heatmap.Rd

nmfae.heatmap displays the three factor matrices \(X_1\), \(\Theta\), and \(X_2\) as side-by-side heatmaps. This provides an alternative to DOT graph visualization, especially when \(Y_2\) has many variables (e.g., kernel matrix).

Usage

nmfae.heatmap(
  x,
  Y1.label = NULL,
  X1.label = NULL,
  X2.label = NULL,
  Y2.label = NULL,
  palette = NULL,
  ...
)

Arguments

x

An object of class "nmfae" returned by nmfae.

Y1.label

Character vector of output variable names (rows of \(X_1\)).

X1.label

Character vector of decoder basis labels (columns of \(X_1\)).

X2.label

Character vector of encoder basis labels (rows of \(X_2\)).

Y2.label

Character vector of input variable names (columns of \(X_2\)).

palette

Color palette vector. Default is white-orange-red (64 colors).

...

Not used.

Value

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

See also

nmfae, plot.nmfae, nmfae.DOT

Examples

# \donttest{
set.seed(1)
Y <- matrix(runif(20), nrow = 4)
res <- nmfae(Y, rank = 2)
nmfae.heatmap(res)

# }