assembleMirrorPlots: Assemble mirror plot Data

View source: R/fct_assembleMirrorPlots.R

assembleMirrorPlotsR Documentation

Assemble mirror plot Data

Description

Assemble mirror plot Data

Usage

assembleMirrorPlots(
  sampleID1,
  sampleID2,
  minFrequency,
  lowerMassCutoff,
  upperMassCutoff,
  minSNR,
  tolerance = 0.002,
  pool1,
  pool2,
  normalizeSpectra = FALSE,
  ...
)

Arguments

sampleID1

sample ID to search in IDBac sqlite database (will be positive spectrum)

sampleID2

sample ID to search in IDBac sqlite database (will be negative spectrum)

minFrequency

numeric between 0 and 100, minFrequency

lowerMassCutoff

lowerMassCutoff

upperMassCutoff

upperMassCutoff

minSNR

numeric, peaks with a SNR below this number will be removed

tolerance

MALDIquant binning tolerance for intra-sample binning

pool1

pool that contains sample 1 (positive spectrum)

pool2

pool that contains sample 2 (negative spectrum)

normalizeSpectra

should spectra be normalized? TRUE/FALSE

...

advanced arguments for MALDIquant, see IDBacApp::normalizeSpectrumIntensity()

Value

environment containing mirror plot data


chasemc/IDBacApp documentation built on Oct. 22, 2022, 2:52 a.m.