changepointDetection: Change-Point Detection

In flowMeans: Non-parametric Flow Cytometry Data Gating

Description

Fits a two-component piecewise linear regression to the minimum distance between merged clusters vs the number of clusters for a list of merged cluster solutions.

Usage

changepointDetection(vect, OrthagonalResiduals = FALSE, PlotFlag = FALSE)

Arguments

vect	A vector of minimum distances between clusters chosen to be merged at each iteration.
OrthagonalResiduals	Boolean value, indicates if the residuals must be transformed to orthagonal distance or not.
PlotFlag	Boolean value, indicating if the regression lines must be visualized.

Value

MinIndex	Index of the merging step that produced the final results.
l1	First regression line used for finding the changepoint for stopping the merging process.
l2	Second regression line used for finding the changepoint for stopping the merging process.

Author(s)

Nima Aghaeepour

Examples

library(flowMeans)
data(x)
res <- flowMeans(x, c("FL1.H", "FL2.H", "FL3.H", "FL4.H"), MaxN=10)
ft<-changepointDetection(res@Mins)
plot(res@Mins)
abline(ft$l1)
abline(ft$l2)

flowMeans documentation built on Nov. 8, 2020, 4:51 p.m.