classStats: Get some basic statistical properties for each class.

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

Description

This function gives the mean, covariance and inverse of the covariance for each of the classes.

Usage

classStats(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 (grouped by class name) of lists with keys mean, cov and cov.inv. If cov is a singular matrix, then cov.inv will be NULL.

Author(s)

Anthony Chiu, [e-mail]

Examples

## Get some basic statistical properties of the clusters.
aWell <- KRASdata[["E03"]]
aWell$Cluster <- relabelClasses(aWell, classCol="Cluster")
classStats(aWell, classCol="Cluster")

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

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