plotCountsCorrelationHeatmap: Plot counts correlation heatmap

In acidgenomics/minimalism: Acid Genomics Plot Functions and Themes

Plot counts correlation heatmap

Description

Compare feature expression correlation across two data sets.

Usage

plotCountsCorrelationHeatmap(x, y, ...)

## S4 method for signature 'matrix,matrix'
plotCountsCorrelationHeatmap(x, y, i = NULL, j = NULL, method = "pearson", ...)

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")
method	character(1). Correlation method. Refer to stats::cor() for details.
...	Passthrough arguments to plotHeatmap().

Value

Graphical output.

Note

Updated 2022-03-07.

Examples

data(RangedSummarizedExperiment, package = "AcidTest")

## matrix ====
x <- SummarizedExperiment::assay(RangedSummarizedExperiment)
y <- x + 1L
plotCountsCorrelationHeatmap(x, y)

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