| relabelClasses {twoddpcr} | R Documentation |
An attempt to label clusters with "NN", "NP", "PN" or "PP" automatically. (This will not generalise to amplitudes in only a single channel.)
relabelClasses(droplets, classCol = "class", presentClasses = ddpcr$classes)
droplets |
A data frame of droplet amplitudes with a classification. |
classCol |
The column (name or number) from 'droplets' representing the class. |
presentClasses |
A vector of classes that we want to label. Must be a subset of c("NN", "NP", "PN", "PP") and must have the same number of classes as the number of unique classes in the class column. |
The classification column relabelled with "NN", "NP", "PN" and "PP".
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
## Look at the "Cluster" column that was created by Bio-Rad's QuantaSoft.
aWell <- KRASdata[["E03"]]
str(aWell$Cluster)
## Relabel the classes to see the difference.
relabelled <- relabelClasses(aWell, classCol="Cluster")
str(relabelled)
levels(relabelled)
## We choose a sample with 3 clusters.
unique(KRASdata[["H04"]]$Cluster)
## We can check that there is no "PP" class, so specify the others only.
relabelled <- relabelClasses(KRASdata[["H04"]], classCol="Cluster",
presentClasses=c("NN", "PN", "NP"))
table(relabelled)