plot_moc_grid {bootcluster} | R Documentation |
Create a Grid Plot of MOC Results
Description
Creates a grid plot with datasets as rows and clustering methods as columns. This function is designed to visualize multiple datasets and methods in a single plot.
Usage
plot_moc_grid(
results,
dataset_names = NULL,
methods = c("kmeans", "hierarchical", "spectral", "fastgreedy", "metis", "hmetis"),
plot_file = NULL,
format = "pdf",
mar = c(2, 2, 2, 1),
cex = 0.7,
point_size = 0.8,
family = "serif",
label_style = TRUE,
maintain_aspect_ratio = TRUE
)
Arguments
results |
Results from analyze_moc_datasets |
dataset_names |
Names of datasets to plot (default: all datasets in results) |
methods |
Methods to plot (default: all available methods) |
plot_file |
Output file for plots (default: NULL) |
format |
Output format, either "pdf" or "eps" (default: "pdf") |
mar |
Margins for plots (default: c(2, 2, 2, 1)) |
cex |
Text size multiplier (default: 0.7) |
point_size |
Point size for scatter plots (default: 0.8) |
family |
Font family (default: "serif" for Times New Roman) |
label_style |
Whether to add row/column labels (default: TRUE) |
maintain_aspect_ratio |
Whether to maintain aspect ratio in PDF (default: TRUE) |
Value
Invisibly returns the layout information
[Package bootcluster version 0.4.2 Index]