plot_pairwise_features: Plot pairwise scatterplot of cell-level data

In keshav-motwani/scanalysis: Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data

Description

Plot pairwise scatterplot of cell-level data

Usage

plot_pairwise_features(
  sce_list,
  x,
  y = x,
  assay = "logcounts",
  alt_exp = NULL,
  color = NULL,
  shape = NULL,
  label = NULL,
  facet_rows = c(),
  facet_columns = c(),
  text_size = 3,
  ...
)

Arguments

sce_list	list of SingleCellExperiment objects to plot
x	numeric features to plot on x axis - can be from reducedDims, colData, or assay data
y	numeric features to plot on y axis - can be from reducedDims, colData, or assay data
assay	assay to obtain data from (ex: counts, logcounts)
alt_exp	alternate experiment to obtain data from
color	column from reducedDims, colData, or assay data to color by
shape	column from reducedDims, colData, or assay data to shape by
facet_rows	columns from colData to facet on
facet_columns	columns from colData to facet on
...	other parameters to be passed to ggexp::plot_pairwise_scatterplot
size	column from reducedDims, colData, or assay data to size by

Value

ggplot object

Examples

NULL

keshav-motwani/scanalysis documentation built on Feb. 4, 2021, 2:21 a.m.