plot_k_diff: Plot differences between optimal, estimated and true number...

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

Plot differences between optimal, estimated and true number of clusters

Description

Plot differences between optimal, estimated and true number of clusters

Usage

plot_k_diff(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_k_diff(res)

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