classCov: Get the covariance of each cluster.

Description Usage Arguments Value Author(s) Examples

View source: R/clusterStats.R

Description

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

Usage

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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, anthony.chiu@cruk.manchester.ac.uk

Examples

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## 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.