SingleCorPlot: A single correlation plot

In Seurat: Tools for Single Cell Genomics

A single correlation plot

Description

A single correlation plot

Usage

SingleCorPlot(
  data,
  col.by = NULL,
  cols = NULL,
  pt.size = NULL,
  smooth = FALSE,
  rows.highlight = NULL,
  legend.title = NULL,
  na.value = "grey50",
  span = NULL,
  raster = NULL,
  raster.dpi = NULL,
  plot.cor = TRUE,
  jitter = TRUE
)

Arguments

data	A data frame with two columns to be plotted
col.by	A vector or factor of values to color the plot by
cols	An optional vector of colors to use
pt.size	Point size for the plot
smooth	Make a smoothed scatter plot
rows.highlight	A vector of rows to highlight (like cells.highlight in SingleDimPlot)
legend.title	Optional legend title
raster	Convert points to raster format, default is NULL which will automatically use raster if the number of points plotted is greater than 100,000
raster.dpi	the pixel resolution for rastered plots, passed to geom_scattermore(). Default is c(512, 512)
plot.cor	...
jitter	Jitter for easier visualization of crowded points

Value

A ggplot2 object

Seurat documentation built on Nov. 18, 2023, 1:10 a.m.