plot_impacts: Plot SNV impact distribution
In seqCAT: High Throughput Sequencing Cell Authentication Toolkit

Plot SNV impact distributions for a binary SNV profile comparison.

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plot_impacts(comparison, legend = TRUE, annotate = TRUE,
  annotate_size = 9, text_size = 14, palette = c("#0D2D59",
  "#1954A6"))

`comparison`	The SNV profile comparison to be plotted.
`legend`	Show the legend (boolean).
`annotate`	Annotate each category (boolean).
`annotate_size`	Text size for annotations (numeric).
`text_size`	Text size for axes, ticks and legend (numeric).
`palette`	Colour palette for filling of bars (character vector).

This function creates publication-ready plots of the impact distribution from a binary dataset comparison across the matched/mismatched SNVs.

A ggplot2 graphical object.

# Load test comparison data
data(test_comparison)

# Plot the impact distribution
impacts <- plot_impacts(test_comparison)

seqCAT documentation built on Nov. 8, 2020, 7:36 p.m.

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