curvPeaks: Parse curv1Filter output

In flowStats: Statistical methods for the analysis of flow cytometry data

Description

Parse the output of curv1Filter and find modes and midpoints of the high-density regions. This function is considered to be internal.

Usage

curvPeaks(x, dat, borderQuant = 0.01, n = 201, from, to, densities=NULL)

Arguments

x	A multipleFilterResult produced by a curv1Filter operation.
dat	The corresponding flowFrame.
borderQuant	A numeric in [0,1] giving the extreme quantiles for which high-density regions are ignored.
n, from, to	Arguments are passed on to density.
densities	The optional y values of the density estimate computed for the respective data.

Value

A list with items

peaks	x and y locations of the modes of the regions in the density estimates.
regions	the left and right margins of the regions.
midpoints	the mean of regions.
regPoints	x and y locations of the outline of the significant density regions.
densFuns	an approximation function of the density estimate

Author(s)

Florian Hahne

See Also

landmarkMatrix

Examples

library(flowCore)
data(GvHD)
tmp <- filter(GvHD[[10]], curv1Filter("FSC-H"))
res <-  flowStats:::curvPeaks(tmp, exprs(GvHD[[10]])[, "FSC-H"])

flowStats documentation built on Nov. 8, 2020, 6:49 p.m.