scandal_complexity_distribution_plot: Plot compexity distribution accross different nodes

In dravishays/scandal: A framework for single-cell analysis

Description

This function enables assessing the complexity distribution (which is the most important QC metric) accross nodes pre and post QC using a box-and-whiskers plot and visualizes the effect of preprocessing.

Usage

scandal_complexity_distribution_plot(
  object,
  show_plot = TRUE,
  save_to_file = TRUE
)

Arguments

object	a ScandalDataSet object.
show_plot	logical indicating if the plots should be printed to the graphics device. Allows saving the plots without printing to the graphics device by setting to FALSE. Default is TRUE.
save_to_file	logical indicating wether the plots should be saved to the plots directory. Default is TRUE.

Value

Invisibly returns the generated plot.

Note

In contrast to scandal_plot_qc_metrics this function is intended to be called **after preprocessing**.

Author(s)

Avishay Spitzer

See Also

scandal_whiskers_plot, compute_complexity

dravishays/scandal documentation built on Jan. 8, 2020, 1:30 p.m.