ridgeEnrichment: Generate a ridge plot to examine enrichment distributions

In ncborcherding/scone: Single-Cell Operation for Neat Enrichment

Description

This function allows to the user to examine the distribution of enrichment across groups by generating a ridge plot.

Usage

ridgeEnrichment(
  enriched,
  group = "cluster",
  gene.set = NULL,
  colors = c("#0348A6", "#7AC5FF", "#C6FDEC", "#FFB433", "#FF4B20"),
  facet = NULL,
  add.rug = FALSE
)

Arguments

enriched	The output of enrichIt
group	The parameter to group, displayed on the y-axis.
gene.set	The gene set to graph on the x-axis.
colors	The color palette for the ridge plot.
facet	A parameter to separate the graph.
add.rug	Binary classifier to add a rug plot to the x-axis.

Value

ggplot2 object with ridge-based distributions of selected gene.set

See Also

enrichIt for generating enrichment scores.

Examples

ES2 <- readRDS(url(
"https://ncborcherding.github.io/vignettes/scone_enrichment_results.rds"))
ridgeEnrichment(ES2, gene.set = "HALLMARK_DNA_REPAIR", group = "cluster", 
facet = "Type", add.rug = TRUE)

ncborcherding/scone documentation built on Sept. 5, 2020, 1:11 a.m.