ridgePlot: Generate a ridge plot to examine enrichment distributions

In guokai8/scGSVA: GSVA and UCell signature enrichment analysis for single cell RNA seq

Generate a ridge plot to examine enrichment distributions

Description

This function allows to the user to generate the distribution of enrichment across groups with a ridge plot.

Usage

ridgePlot(
  object,
  features,
  group_by = NULL,
  color = NULL,
  split.by = NULL,
  rug = TRUE,
  nrow = NULL,
  ncol = NULL,
  basesize = 12
)

Arguments

object	A GSVA objectect or data.frame
features	A vector of features to plot
group_by	Name of one or more metadata columns to group (color) cells by or a vector to show the group
color	Colors to use for identity class plotting
split.by	Factor to split the groups by
rug	Adds a rug representation or not
nrow	Number of rows
ncol	Number of columns
basesize	base font size, given in pt

Author(s)

Kai Guo

Examples

set.seed(123)
library(scGSVA)
data(pbmc_small)
hsko<-buildAnnot(species="human",keytype="SYMBOL",anntype="KEGG")
res<-scgsva(pbmc_small,hsko)
ridgePlot(res,features="Wnt.signaling.pathway")

guokai8/scGSVA documentation built on Nov. 15, 2024, 12:54 a.m.