visCluster {CellMixS} | R Documentation

## visCluster

### Description

Creates summary plots of metric scores for different groups/cluster.

### Usage

    visCluster(sce_cms, cluster_var, metric_var = "cms", violin = FALSE)

### Arguments

`sce_cms` | A `SingleCellExperiment` object with the result scores (e.g. cms) to plot within `colData(res_object)`.
`cluster_var` | Character. Name of the factor level variable to summarize metric scores on.
`metric_var` | Character Name of the metric scores to use. Default is "cms".
`violin` | A logical. If true violin plots are plotted, while the default (FALSE) will plot ridge plots.

### Details

Plots summarized metric scores. This function is intended to visualize and compare metric scores among clusters or other dataset variables spcified in 'cluster_var'.

### Value

a `ggplot` object.

### See Also

`visIntegration`

Other visualize functions: `visGroup()`

### Examples

    library(SingleCellExperiment)

    sim_list <- readRDS(system.file("extdata/sim50.rds", package = "CellMixS"))
    sce <- sim_list[[1]][, c(1:30,300:320)]
    sce_cms <- cms(sce, "batch", k = 20, n_dim = 2)

    visCluster(sce_cms, "batch")

[Package CellMixS version 1.4.2 Index]