Visualizes the proportion of each clone across patients as a stacked bar plot. Useful for understanding tumor heterogeneity and clonal architecture.
Usage
plot_clone_distribution(
clone_distribution,
response_var = NULL,
base_size = 15,
tooltip = TRUE,
tooltip_col = NULL
)Arguments
- clone_distribution
Data frame with columns: patients, clones, weights.
- response_var
Character. Optional column name for response annotation. If provided, facets by response. Default = NULL.
- base_size
Numeric. Base font size. Default = 15.
- tooltip
Logical. If TRUE (default) and ggiraph is installed, bar segments get hover tooltips (clone + proportion).
- tooltip_col
Character. Optional existing column used as the tooltip text. Default = NULL (auto-builds a rich tooltip).
Examples
if (FALSE) { # \dontrun{
# After computing clone weights
clone_dist <- data.frame(
patients = c("P1", "P1", "P1", "P2", "P2", "P2"),
clones = c("c1", "c2", "c3", "c1", "c2", "c3"),
weights = c(0.3, 0.5, 0.2, 0.6, 0.3, 0.1)
)
plot_clone_distribution(clone_dist)
} # }