setChannelNames: Rename the channels.

In CRUKMI-ComputationalBiology/twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules

Description

We use the channel names "Ch1.Amplitude" and "Ch2.Amplitude" by default. This method allows us to change it at will.

Usage

setChannelNames(droplets, ch1 = "Ch1.Amplitude", ch2 = "Ch2.Amplitude")

## S4 method for signature 'data.frame'
setChannelNames(droplets, ch1 = "Ch1.Amplitude", ch2 = "Ch2.Amplitude")

## S4 method for signature 'list'
setChannelNames(droplets, ch1 = "Ch1.Amplitude", ch2 = "Ch2.Amplitude")

Arguments

droplets	A data frame or list of data frames. Each data frame should have at least two columns, where the first two columns should be vectors of doubles.
ch1	The channel 1 label.
ch2	The channel 2 label.

Value

The object droplets with the channels renamed.

Examples

## Ensure that a data frame has channels named "Ch1.Amplitude" and
## "Ch2.Amplitude".
aWell <- KRASdata[["E03"]]
aWell <- setChannelNames(aWell)
colnames(aWell)

## Perhaps we want to abbreviate the channel names.
aWell <- setChannelNames(aWell, "Ch1", "Ch2")
colnames(aWell)

## The same operator works for a list of data frames.
krasWells <- KRASdata
krasWells <- setChannelNames(krasWells, "Ch1", "Ch2")
lapply(krasWells, colnames)[1:3]

CRUKMI-ComputationalBiology/twoddpcr documentation built on Feb. 14, 2021, 9:18 p.m.