Plot stratified feature distributions across splits — plot_stratified

Generates boxplots of scaled feature values across data splits (X, Y, R) stratified by a grouping column, optionally for specified features.

Usage

plot_stratified_feature(
  X,
  Y,
  R,
  MX,
  MY,
  MR,
  features = NULL,
  g_col,
  id_col = NULL,
  title = NULL,
  point_size = 0.5
)

X: A numeric matrix or data frame for the test split
Y: A numeric matrix or data frame for the inference split
R: A numeric matrix or data frame for the train split
MX: Metadata for X, containing IDs and group information
MY: Metadata for Y, containing IDs and group information
MR: Metadata for R, containing IDs and group information
features: Character vector of feature names to plot. Defaults to first 9 common features if NULL.
g_col: Column name in metadata indicating the grouping (e.g., condition)
id_col: Column name in metadata for sample identifiers (assumes rownames of matrix are ids)
title: Optional title for the plot
point_size: Numeric value controlling point/label size (currently not used in plotting directly).

A ggplot2 object containing the faceted boxplot