plot_performance: Plot performance of clustering methods

In csoneson/DuoClustering2018: Data, Clustering Results and Visualization Functions From Duò et al (2018)

Plot performance of clustering methods

Description

Generate various plots of the agreement between each clustering and the true partitioning of the cells, quantified by the adjusted Rand index (ARI).

Usage

plot_performance(res, method_colors = NULL)

Arguments

res	A data.frame with clustering results.
method_colors	A named vector with colors to use for the different clustering methods. Can be NULL, in which case colors are chosen automatically.

Value

A named list of ggplot2 objects

Author(s)

Angelo Duo, Charlotte Soneson

Examples

res <- clustering_summary_filteredExpr10_Koh_v1()
plots <- plot_performance(res)

csoneson/DuoClustering2018 documentation built on July 4, 2023, 2:23 p.m.