stat_hist: Stat histogram

In d93espinoza/barcodetrackR: Functions for Analyzing Cellular Barcoding Data

Description

Given a summarized experiment, gives a histogram of the acc assay or choice of metadata.

Usage

stat_hist(
  your_SE,
  data_choice = "assay stats",
  assay_choice = "counts",
  metadata_stat = NULL,
  group_meta_by = NULL,
  scale_all_y = FALSE,
  y_log_axis = FALSE,
  text_size = 12,
  n_bins = 30,
  n_cols = NULL,
  your_title = NULL
)

Arguments

your_SE	Your SummarizedExperiment of barcode data and associated metadata.
data_choice	Either "assay stats" which allows you to view the distribution of values in the 'assay_choice' assay, or "metadata stats" which allows you to view the distribution of metadata values in your SummarizedExperiment object.
assay_choice	When data_choice is set to "assay stats", designates which assay will be used.
metadata_stat	When data_choice is set to "metadata stats", The metadata values that will be used.
group_meta_by	When data_choice is set to "metadata stats", facet the histogram using this column of metadata. If NULL, no grouping or faceting applied
scale_all_y	Logical. Whether or not to plot all plots on the same y axis limits.
y_log_axis	Logical. Whether or not to put y axis on log scale
text_size	Size of text.
n_bins	Number of bins for histograms. Default is 30.
n_cols	Number of columns for faceted histograms. If NULL (default) will automatically choose n_cols for facetting.
your_title	Character. The title for the plot.

Value

Histogram of chosen statistics

Examples

data(wu_subset)
stat_hist(
    your_SE = wu_subset[, 1], data_choice = "assay stats",
    assay_choice = "counts"
)

d93espinoza/barcodetrackR documentation built on April 28, 2021, 1:58 p.m.