plot_bar: Create interactive bar plot

In j-andrews7/CRISPRball: Shiny Application for Interactive CRISPR Screen Visualization, Exploration, Comparison, and Filtering

Create interactive bar plot

Description

Create an interactive bar plot for specific summary information for each sample in the dataset.

Usage

plot_bar(
  count.summary,
  x = "Label",
  y = "GiniIndex",
  title = "sgRNA Read Distribution",
  xlab = NULL,
  ylab = "Gini Index",
  fill = "#E69F00",
  yaxis.addition = 0.05
)

Arguments

count.summary	data.frame containing the count summary information for each sample.
x	Character scalar for column of count.summary to plot along the x-axis.
y	Character scalar for column of count.summary to plot along the y-axis.
title	Character scalar for title of the plot.
xlab	Character scalar for label of the x-axis.
ylab	Character scalar for label of the y-axis.
fill	Character scalar for bar fill color in hex.
yaxis.addition	Numeric scalar for additional space to add to the y-axis.

Value

An interactive bar chart showing the specified summary information for each sample. The axis and plot title are editable.

Author(s)

Jared Andrews

See Also

BarView, for a static bar plot from the same count summary data.

Examples

library(CRISPRball)
count.summ <- read.delim(system.file("extdata", "escneg.countsummary.txt",
    package = "CRISPRball"
), check.names = FALSE)
# Gini Index plot
plot_bar(count.summ)

# Zero count sgRNAs plot
plot_bar(count.summ,
    x = "Label", y = "Zerocounts", title = "Fully Depleted sgRNAs",
    fill = "#394E80", ylab = "Zero Count sgRNAs", yaxis.addition = 10
)

j-andrews7/CRISPRball documentation built on Nov. 30, 2023, 7:34 p.m.