find_boundaries: find_boundaries.

In MetabolomicsBasics: Basic Functions to Investigate Metabolomics Data Matrices

find_boundaries.

Description

find_boundaries will determine peak boundaries within a BPC or mass trace.

Usage

find_boundaries(
  int = NULL,
  rt = NULL,
  p = which.max(int),
  k = 3,
  bl = min(int),
  local_min = int[p]
)

Arguments

int	The measured intensity of the ion mass (obviously ordered according to consecutive RTs).
rt	The respective retention times (can be omitted as currently not used).
p	The anticipated peak position (as index of int) if several peaks are within the mass trace.
k	The smoothing window parameter (provided to runmed).
bl	The baseline value. Can be provided explicitly if automatic determination is insufficient.
local_min	This is practically the upper end of the baseline. It can be set to avoid boundary detection at local minima (e.g. for peaks suffering ion suppression).

Details

It is yet another peak finder or, more precisely, it is a function to identify two RT values which flank a intensity maximum which is required if one would like to integrate the peak area.

Value

Numeric vector of length=2 specifying the start and end index of the peak.

Examples

int <- sin(seq(-0.75 * pi, 1.75 * pi, by = 0.1))
plot(int)
abline(v = find_boundaries(int = int))

MetabolomicsBasics documentation built on Nov. 2, 2023, 5:07 p.m.