plotComponentResult: Plot non-contiguous simplivariate components by pattern type,...

In SIMPLICA: Biclustering via Simplivariate Component Analysis

Plot non-contiguous simplivariate components by pattern type, with optional reordering

Description

Visualizes GA-detected simplivariate components on the original matrix as outlined cells, colored by pattern type.

Usage

plotComponentResult(
  df,
  string,
  componentPatterns,
  componentScores,
  scoreCutoff = 0,
  showAxisLabels = TRUE,
  showComponentLabels = TRUE,
  title = "Detected Components",
  rearrange = FALSE,
  grayscale = TRUE
)

Arguments

df	Original data matrix
string	Best GA string (vector of length nrow(df) + ncol(df); rows first, then cols)
componentPatterns	Vector of component types (from fitness(..., returnPatterns = TRUE))
componentScores	Vector of fitness scores per component
scoreCutoff	Minimum score a component must have to be shown (default: 0 = show all)
showAxisLabels	Logical: show axis tick labels (default: TRUE)
showComponentLabels	Logical: show component labels inside clusters (default: TRUE)
title	Title for the plot (default: "Detected Components")
rearrange	Logical: reorder rows and columns to group components (default: FALSE)
grayscale	Logical: use grayscale for heatmap background (default: TRUE)

Value

ggplot object

SIMPLICA documentation built on Sept. 11, 2025, 1:08 a.m.