plotAlevinQuant: Panel of plots with quantification summary statistics

In csoneson/alevinQC: Generate QC Reports For Alevin Output

Panel of plots with quantification summary statistics

Description

Panel of plots with quantification summary statistics

Usage

plotAlevinQuant(
  cbTable,
  colName = "inFinalWhiteList",
  cbName = "final whitelist",
  firstSelColName = "inFirstWhiteList"
)

Arguments

cbTable	data.frame (such as the cbTable returned by readAlevinQC or readAlevinFryQC) with collapsed barcode frequencies, the total UMI count and the number of detected genes for each cell.
colName	Character scalar giving the name of a logical column of cbTable to use for coloring the points.
cbName	Character scalar giving the name of the set of barcodes defined by colName, used for labelling the plot legend.
firstSelColName	Character scalar indicating the name of the logical column in cbTable that indicates the original selection of barcodes for quantification.

Value

A ggplot object

Author(s)

Charlotte Soneson

Examples

alevin <- readAlevinQC(system.file("extdata/alevin_example_v0.14",
                                   package = "alevinQC"))
plotAlevinQuant(alevin$cbTable, colName = "inFinalWhiteList",
                cbName = "final whitelist")

csoneson/alevinQC documentation built on Nov. 6, 2024, 7:42 a.m.