wellClassification {twoddpcr} | R Documentation |
Retrieve the classification from a ddpcrWell
object.
wellClassification(theObject, cMethod = NULL, withAmplitudes = FALSE) ## S4 method for signature 'ddpcrWell' wellClassification(theObject, cMethod = NULL, withAmplitudes = FALSE) wellClassification(theObject, cMethod) <- value ## S4 replacement method for signature 'ddpcrWell' wellClassification(theObject, cMethod) <- value
theObject |
A |
cMethod |
The names (or column numbers) of the classification to
retrieve. If |
withAmplitudes |
Logical value. If |
value |
A factor with the same length as the number of droplets in
|
A factor or data frame corresponding to the requested classification(s).
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
wellClassificationMethod
for the name of the
classification method.
## Take some droplets with a given classification. amplitudes <- KRASdata[["E03"]][, c("Ch1.Amplitude", "Ch2.Amplitude")] ## Create a ddpcrWell object with the amplitudes only. aWell <- ddpcrWell(well=amplitudes) ## This has no classification yet. head(wellClassification(aWell)) ## We check the classification now, showing the amplitudes as well. head(wellClassification(aWell, withAmplitudes=TRUE)) ## Now set a sample classification. wellClassification(aWell, cMethod="Sample") <- rep(c("NN", "NP", "PN", "PP"), numDroplets(aWell) / 4) head(wellClassification(aWell, withAmplitudes=TRUE))