QC_Histogram {scCustomize} | R Documentation |
QC Histogram Plots
Description
Custom histogram for initial QC checks including lines for thresholding
Usage
QC_Histogram(
seurat_object,
features,
low_cutoff = NULL,
high_cutoff = NULL,
split.by = NULL,
bins = 250,
colors_use = "dodgerblue",
num_columns = NULL,
plot_title = NULL,
assay = NULL,
print_defaults = FALSE
)
Arguments
seurat_object |
Seurat object name. |
features |
Feature from meta.data, assay features, or feature name shortcut to plot. |
low_cutoff |
Plot line a potential low threshold for filtering. |
high_cutoff |
Plot line a potential high threshold for filtering. |
split.by |
Feature to split plots by (i.e. "orig.ident"). |
bins |
number of bins to plot default is 250. |
colors_use |
color to fill histogram bars, default is "dodgerblue". |
num_columns |
Number of columns in plot layout. |
plot_title |
optional, vector to use for plot title. Default is the name of the variable being plotted. |
assay |
assay to pull features from, default is active assay. |
print_defaults |
return list of accepted default shortcuts to provide to |
Value
A patchwork object
Examples
## Not run:
QC_Histogram(seurat_object = object, features = "nFeature_RNA")
## End(Not run)
[Package scCustomize version 2.1.2 Index]