vis.immunr_hclust: Visualisation of hierarchical clustering

In charlotterich/immunarch_code: Painless Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires in R

Description

Visualisation of the results of hierarchical clustering. For other clustering visualisations see vis.immunr_kmeans.

Usage

## S3 method for class 'immunr_hclust'
vis(.data, .rect = F, .plot = c("clust", "best"), .return.grob = F, ...)

Arguments

.data	Clustering results from repOverlapAnalysis or geneUsageAnalysis.
.rect	Passed to fviz_dend - whether to add a rectangle around groups.
.plot	A character vector of length one or two specifying which plots to visualise. If "clust" then plot only the clustering. If "best" then plot the number of optimal clusters. If both then plot both.
.return.grob	If TRUE then return grob instead of plot.
...	Not used here.

See Also

vis, repOverlapAnalysis, geneUsageAnalysis

charlotterich/immunarch_code documentation built on Jan. 24, 2020, 12:08 a.m.