plot_model_comparison_dotplot: Plot Model Comparison Dotplot

In theMILOlab/SPATA2: A Toolbox for Spatial Expression Analysis

Plot Model Comparison Dotplot

Description

Overview dotplot to compare screening results of selected models.

Usage

plot_model_comparison_dotplot(
  data,
  eval = "mae",
  pval = "p_value",
  model_subset = NULL,
  model_remove = NULL,
  scale_factor = 1,
  pt_size = 1.5,
  label_vars = 2,
  label_size = 4,
  threshold_pval = 0.05,
  label_color = "#4d4d4d"
)

Arguments

data	Output of spatialAnnotationScreening() or spatialTrajectoryScreening() in the form of screening_results@results.
model_remove	(Optional) A character vector specifying models to remove from the plot.
scale_factor	A numeric value to scale the point sizes. Default is 1.
pt_size	The size of the points in the plot. Default is 0.1.
label_vars	The number of top variables to label for each model. Default is 2.
label_size	The size of the labels. Default is 4.
threshold_pval	The p-value threshold for coloring points. Default is 0.05.
label_color	The color of labels. Default is "#4d4d4d".
x_label	The label for the x-axis. Default is "Gene-model correlation".

Value

A dotplot comparing model screening results.

Examples

# Example usage:
pl <- plot_model_comparison_dotplot(screening_1@results, model_remove = c("peak"), label_vars = 3)
pl + coord_cartesian(xlim = c(0.5, 1))

theMILOlab/SPATA2 documentation built on Feb. 8, 2025, 11:41 p.m.