Displays clustering results and quality

draw_coseq_run(clustering_run, plot = "ICL")

Arguments

clustering_run: result of a coseq run
plot: plot to display, either Integrated Complete Likelihood, or barplots of the posterior probabilities for the clustering. Value must be "ICL" or "barplots".

Value

plot describing the quality of the clustering process

Examples

data("abiotic_stresses")
genes <- abiotic_stresses$heat_DEGs
clustering <- DIANE::run_coseq(conds = c("C", "H", "SH", "MH", "SMH"), 
data = abiotic_stresses$normalized_counts, genes = genes, K = 6:9)
#> ****************************************
#> coseq analysis: Poisson approach & none transformation
#> K = 6 to 9 
#> Use seed argument in coseq for reproducible results.
#> ****************************************
#> Running g = 6 ...
#> Running g = 7 ...
#> Running g = 8 ...
#> Running g = 9 ...
DIANE::draw_coseq_run(clustering$model, plot = "barplots")
#> $probapost_barplots

#> 
DIANE::draw_coseq_run(clustering$model, plot = "ICL")
#> $ICL

#>