classCov: Get the covariance of each cluster.

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

Description

After classifying droplets, we can compute the covariance for each class.

Usage

classCov(droplets, classCol = "class")

Arguments

droplets	A data frame of droplets with Ch1.Amplitude and Ch2.Amplitude columns, as well as a class column (see the parameter classCol).
classCol	The column (name or number) from droplets representing the class.

Value

A list of covariance matrices of each cluster.

Author(s)

Anthony Chiu, [e-mail]

Examples

## Get the covariance matrix of the clusters.
aWell<- KRASdata[["E03"]]
aWell$Cluster <- relabelClasses(aWell, classCol="Cluster")
classCov(aWell, classCol="Cluster")

## We repeat the above but with a sample with no "PP" cluster.
aWell <- KRASdata[["H04"]]
aWell$Cluster <- relabelClasses(aWell, classCol="Cluster")
classCov(aWell, classCol="Cluster")

twoddpcr documentation built on Nov. 8, 2020, 5:49 p.m.