plot_mean_rank — plot_mean_rank • clustOpt

Create a publication-quality plot showing the mean rank across resolutions. Lower mean rank indicates better overall performance across all metrics.

Usage

plot_mean_rank(
  rank_results,
  method = "rank",
  highlight_best = TRUE,
  base_size = 12
)

Arguments

rank_results: A data.frame output from suggest_resolution.
method: Character; "rank" (default) for direct rank aggregation, or "curvature" for curvature-based ranking. The curvature method requires at least 3 resolutions.
highlight_best: Logical; if TRUE (default), highlight the best resolution with a vertical dashed line.
base_size: Numeric; base font size for theme. Default is 12.

Value

A ggplot object

See also

suggest_resolution, plot_rank_metrics

Examples

if (FALSE) { # \dontrun{
cv_results <- clust_opt(seurat_obj, subject_ids = "donor_id")
rankings <- suggest_resolution(cv_results)
plot_mean_rank(rankings)
plot_mean_rank(rankings, method = "curvature")
} # }