.classifyOnChannel {twoddpcr} | R Documentation |
K-means classify a list of data frames individually, where each data frame comprises droplets that are negative in the same channels only.
.classifyOnChannel( cl, channel, centres = NULL, minSeparation = 2000, fullTable = TRUE )
cl |
List of data frames, where each data frame corresponds to a well with droplets corresponding only to "NN" and "NP" or "NN" and "PN". |
channel |
The channel on which to classify (1 or 2). |
centres |
A data frame of centres. The data frame should have columns
|
minSeparation |
The minimum distance required between two cluster centres in order for us to assume that k-means found two distinct clusters. Defaults to 2000. |
fullTable |
Whether to return a full table or just a vector. Defaults to 'TRUE' |
A classification for cl
.
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk