GenVisR (version 1.0.4)

covBars: Construct an overall coverage cohort plot

Description

Given a matrix construct a plot to display sequencing depth acheived as percentage bars for a cohort of samples.

Usage

covBars(x, colour = NULL, plot_title = NULL, x_title_size = 12, y_title_size = 12, facet_lab_size = 10, plotLayer = NULL, out = "plot")

Arguments

x
Object of class matrix with rows representing the sequencing depth (i.e. number of reads) and columns corresponding to each sample in the cohort and elements of the matrix
colour
Character vector specifying colours to represent sequencing depth.
plot_title
Character string specifying the title to display on the plot.
x_title_size
Integer specifying the size of the x-axis title.
y_title_size
Integer specifying the size of the y-axis title.
facet_lab_size
Integer specifying the size of the faceted labels plotted.
plotLayer
Valid ggplot2 layer to be added to the plot.
out
Character vector specifying the the object to output, one of "data", "grob", or "plot", defaults to "plot" (see returns).

Value

One of the following, a list of dataframes containing data to be plotted, a grob object, or a plot.

Examples

Run this code
# Create data
x <- matrix(sample(100000,500), nrow=50, ncol=10, dimnames=list(0:49,paste0("Sample",1:10)))

# Call plot function
covBars(x)

Run the code above in your browser using DataCamp Workspace