plotCtCor: Correlation between Ct values from qPCR data

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/plotCtCor.R

Description

Function for plotting the correlation based on Ct values between samples containing high-throughput qPCR data.

Usage

1
plotCtCor(q, col, col.range = c(0, 1), main, mar, ...)

Arguments

q

object of class qPCRset.

col

vector of colours to use, defaults to a spectrum from red to blue/purple.

col.range

vector, the range of colours to use.

main

character string, plot title.

mar

vector, the size of the borrom and right hand side margins.

...

any other arguments will be passed to the heatmap.2 function.

Details

This function may be used to cluster the samples based on Ct values and present the result in a heatmap. Per default the colours are a rainbow scale from 0 to 1.

The correlation is calculated as 1 - the 'Pearson' method. Prior to version 1.9.1 the value plotted was the correlation directly, rather than 1-correlation.

A standard heatmap is drawn, but this can be modified extensively using the arguments available in the heatmap.2 function.

Value

A plot is created on the current graphics device.

Author(s)

Heidi Dvinge

See Also

heatmap.2

Examples

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HTqPCR documentation built on Nov. 1, 2018, 2:23 a.m.