plotOneFit {consensus} | R Documentation

## Plot a single row-linear fit from a genomic locus

### Description

Plots a series of regressions of platform measurements against their consensus mean.

### Usage

    plotOneFit(multimeas, idx, pal=palette(), ...)

### Arguments

`multimeas` | An object of class `MultiMeasure.`
`idx` | Row index of the set of matrices in `multimeas`.
`pal` | Color palette. Length must be at least the length of multimeas@data.
`...` | Extra arguments passed to `legend()`.

### Details

Visualises a row-linear fit explicitly in the measurement space. Steeper (positive) slopes mean greater sensitivity, and greater scatter around the regression line indicates lower precision.

### Value

A plot to the current device.

### Author(s)

Tim Peters <t.peters@garvan.org.au>

### Examples

    data("TCGA")
    tcga_mm <- MultiMeasure(names=c("U133A", "Huex", "Agilent", "RNASeq"),
    			data=list(U133A, Huex, Agilent, RNASeq))
    plotOneFit(tcga_mm, "TP53", brewer.pal(n = 4, name = "Dark2"))

[Package consensus version 1.6.1 Index]