plotCountsCorrelation: Plot counts correlation

In acidgenomics/minimalism: Acid Genomics Plot Functions and Themes

Plot counts correlation

Description

Compare feature expression correlation across two data sets.

Usage

plotCountsCorrelation(x, y, ...)

## S4 method for signature 'matrix,matrix'
plotCountsCorrelation(
  x,
  y,
  i = NULL,
  j = NULL,
  xName = "x",
  yName = "y",
  labels = list(title = NULL, subtitle = NULL, color = NULL, x = NULL, y = "counts")
)

Arguments

x	Object.
y	Object.
i	Indices specifying elements to extract or replace. Indices are numeric or character vectors, empty (missing), or NULL. For more information: help(topic = "Extract", package = "base")
j	Indices specifying elements to extract or replace. Indices are numeric or character vectors, empty (missing), or NULL. For more information: help(topic = "Extract", package = "base")
xName, yName	character(1). Color legend name for value in x or y.
labels	list. ggplot2 labels. See ggplot2::labs() for details.
...	Additional arguments.

Value

Graphical output.

Note

Updated 2023-10-05.

Examples

data(RangedSummarizedExperiment, package = "AcidTest")

## matrix ====
x <- SummarizedExperiment::assay(RangedSummarizedExperiment)
x <- x[seq_len(4L), seq_len(2L)]
y <- x * 2L
plotCountsCorrelation(x, y)

acidgenomics/minimalism documentation built on April 1, 2024, 10:34 a.m.