plot_unique_read_pct: Unique read percentage per sample scatterplot

In bryancquach/omixjutsu: Utilities for omics analysis tasks

Unique read percentage per sample scatterplot

Description

Create a unique read percentage by sample scatterplot.

Usage

plot_unique_read_pct(
  data,
  group = NULL,
  point_size = 4,
  fill = NULL,
  alpha = 0.75,
  sort = T,
  ids = NULL,
  invert = F,
  return_data = F
)

Arguments

data	A data frame with sequencing depth data in the same format as fastqc returned by load_paired_end_qc_data.
group	A single column data frame denoting categorical variable values to use to partition the data points into separate distributions/boxplots. Row names should match rownames in data.
point_size	A numeric. The size for data points.
fill	A string. The fill color for data points.
alpha	A numeric. The alpha level for data points.
sort	A logical. Should the x-axis be ordered by sequencing depth?
ids	A vector of rownames for subsetting data for plotting.
invert	A logical. Should ids be used for excluding rows from plotting instead?
return_data	A logical. Should plot data be returned instead of a ggplot object?

Value

A ggplot object.

A ggplot object unless return_data is TRUE, then a data frame with the unique read percentage and grouping variable.

See Also

load_paired_end_qc_data

bryancquach/omixjutsu documentation built on Jan. 29, 2023, 3:47 p.m.