plot_scatterplot: Plot Scatterplot of Cell-group Proportion

In stemangiola/sccomp: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data

Plot Scatterplot of Cell-group Proportion

Description

This function creates a scatterplot of cell-group proportions, optionally highlighting significant differences based on a given significance threshold.

Usage

plot_scatterplot(
  .data,
  data_proportion,
  factor_of_interest,
  .cell_group,
  .sample,
  significance_threshold = 0.05,
  my_theme
)

Arguments

.data	Data frame containing the main data.
data_proportion	Data frame containing proportions of cell groups.
factor_of_interest	A factor indicating the biological condition of interest.
.cell_group	The cell group to be analysed.
.sample	The sample identifier.
significance_threshold	Numeric value specifying the significance threshold for highlighting differences. Default is 0.025.
my_theme	A ggplot2 theme object to be applied to the plot.

Value

A ggplot object representing the scatterplot.

Examples

# Example usage:
# plot_scatterplot(.data, data_proportion, "condition", "cell_group", "sample", 0.025, theme_minimal())

stemangiola/sccomp documentation built on Dec. 20, 2024, 8:38 a.m.