visCluster: visCluster
In CellMixS: Evaluate Cellspecific Mixing

Description Usage Arguments Details Value See Also Examples

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

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

`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.

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

a ggplot object.

visIntegration

Other visualize functions: visGroup()

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")