plotCtDensity: Distribution plot for qPCR Ct values.

In HTqPCR: Automated analysis of high-throughput qPCR data

Description

Function for plotting the density distribution of Ct values from high-throughput qPCR data.

Usage

plotCtDensity(q, cards = TRUE, xlab = "Ct", ylab = "Density", col, main = NULL, legend = TRUE, lwd = 2, ...)

Arguments

q	object of class qPCRset.
cards	vector, the numbers of the cards to plot. Defaults to TRUE = all cards.
xlab	character string, label for the x-axis.
ylab	character string, label for the y-axis.
col	vector of colours to use, defaults to different colour for each card.
main	character string, plot title.
legend	logical, whether to include a colour legend or not.
lwd	numeric, the width of the lines.
...	any other arguments will be passed to the matplot function.

Details

The distribution of Ct values in the qPCRset q is calculated using density.

Value

A plot is created on the current graphics device.

Author(s)

Heidi Dvinge

See Also

matplot, density

Examples

# Loading the data
data(qPCRraw)
# Make plot with all samples or just a few
plotCtDensity(qPCRraw)
plotCtDensity(qPCRraw, cards=c(1,4))

HTqPCR documentation built on Nov. 8, 2020, 6:51 p.m.