diagplot.cor: Summarized correlation plots

In pmoulos/metaseqR-local: An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms.

Description

This function uses the read counts matrix to create heatmap or correlogram correlation plots.

Usage

    diagplot.cor(mat, type = c("heatmap", "correlogram"),
        output = "x11", path = NULL, ...)

Arguments

mat	the read counts matrix or data frame.
type	create heatmap of correlogram plots.
output	one or more R plotting device to direct the plot result to. Supported mechanisms: "x11" (default), "png", "jpg", "bmp", "pdf" or "ps".
path	the path to create output files.
...	further arguments to be passed to plot devices, such as parameter from par.

Value

The filename of the pairwise comparisons plot produced if it's a file.

Author(s)

Panagiotis Moulos

Examples

require(DESeq)
data.matrix <- counts(makeExampleCountDataSet())
diagplot.cor(data.matrix,type="heatmap")
diagplot.cor(data.matrix,type="correlogram")

pmoulos/metaseqR-local documentation built on May 9, 2019, 1:13 a.m.