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Density or histogram of normalized binding counts per chromosome

Source: R/plot_distributions.R
plot_distributions.Rd

Plots the distribution of normalized binding counts for two experimental conditions, faceted by chromosome. Supports density and histogram geometries, as well as overlaid or grid facetting.

Usage

plot_distributions(
  object,
  title = NULL,
  subtitle = NULL,
  chromosomes = .elegans_chr_order(),
  conc_cols = c(Conc_base = "Conc_notag", Conc_condition = "Conc_degron"),
  condition = "Degron",
  baseline = "NoTag",
  type = c("density", "hist"),
  overlay = TRUE,
  ncol = 3,
  free_y = TRUE,
  add_rug = FALSE
)

Arguments

object

A data.frame or tibble. Must contain a seqnames column.

title

Character. Plot title. Default NULL.

subtitle

Character. Plot subtitle. Default NULL.

chromosomes

Character vector. Chromosomes to include. Default is C. elegans order.

conc_cols

Named character vector mapping role to column name. Default c(Conc_base = "Conc_notag", Conc_condition = "Conc_degron").

condition

Character. Display name for condition. Default "Degron".

baseline

Character. Display name for baseline. Default "NoTag".

type

Character. "density" (default) or "hist".

overlay

Logical. If TRUE (default), conditions are overlaid within each chromosome facet. If FALSE, a Condition ~ seqnames grid is used.

ncol

Integer. Number of facet columns. Default 3.

free_y

Logical. If TRUE (default), facet y-axes are free.

add_rug

Logical. Add a rug to the x-axis? Default FALSE.

Value

A ggplot2::ggplot object.

Examples

if (FALSE) { # \dontrun{
plot_distributions(
  object    = my_peaks,
  title     = "Binding count distributions",
  condition = "Degron",
  baseline  = "NoTag"
)
} # }